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foreign

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it is phenomenal what

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Libby Berry on the Heckle mic

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did you miss me

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hi it's lightning talks time how are we

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yes yeah applause applause

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stop

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again he is out of practice and you

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don't need any training amazing okay

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today we have 11 talks on

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a variety of themes

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uh

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uh so uh basically first thing I'm going

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to run through how this works uh I'm

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going to introduce our upcoming speaker

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before I do that I will always introduce

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the person who is up on deck if I say

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your name and you're up on deck that

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means to go to the lectern that I point

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at so that we don't have any breaks

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between our talks awkward silence is

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really awkward and Libby will have to

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say stuff

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yes

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okay uh really important is that we keep

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this thing to time

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uh Russell here has a laptop so speakers

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uh look at Russell he will tell you

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exactly how much time you have remaining

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in your talk when we get to about 10

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seconds left

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uh somebody in the audience will start

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encouraging you to make some really

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quiet Applause with your fingers

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and then suddenly it will start turning

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into Applause with hands and then when

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we hit five minutes you need to make

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really loud loud Applause so that the

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people know to get off stage yeah

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yeah first Nikki ringland

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okay hello

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um I'm gonna talk about well it depends

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so here you are you're working on your

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amazing awesome project and you find

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yourself installing a dependency that's

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great but hang on what even was that

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what did you just install good news I

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have live footage of your depend uh yes

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that's that no okay here is your lovely

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dependency tree it's beautiful and oh no

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there's been a vulnerability or a

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incompatible license that's just been

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discovered in that tree if you are lucky

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the problem is in a direct dependency of

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yours if you are unlucky it might be in

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an indirect or a transitive dependency

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the problem with this is that it means

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that you might need to wait for all for

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that intermediate package or maybe all

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of those intermediate packages to fix

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before you can actually patch that

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problem so you might have to wait for

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them to remove that bad dependency you

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might have to remove the entire path

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that pulls in this dependency but this

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involves considerable effort you added

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that dependency for a reason right a

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good reason right and then of course

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there's the problem of your beautiful

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nice clean dependency tree does not look

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like this it usually looks a little bit

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more like this it's a graph and probably

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a pretty interconnected one and that

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problem package that one down there well

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uh there are a pretty oh no there are

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lots of different ways that you depend

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on that now in in Python we're not doing

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too badly uh we've got floss that's a

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reasonable number of defenses you might

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be using Django that looks great or you

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might oh no

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and other languages well I'm not naming

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names here

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um so an a median thing in in uh

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languages like go or python on the left

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here we see we have about 10

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dependencies but in languages like rust

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or JavaScript more like 70 or 80 that's

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a lot of dependencies to keep track of

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and why would you want to keep track of

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dependency oh yeah those problem things

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some of you may remember look don't

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worry there was a problem log for Shell

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but it was okay because they patched it

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pretty quickly that's great news all you

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need to do is pull the new version bump

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your dependency version the bad news

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you've got to bump that dependency

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version this is hard because in Maven

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and however they use this thing more

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often than not called the soft version

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requirement which means that manual

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effort was needed manual effort is bad

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also it turned out that log4j ended up

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more often than not really deep deep

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down in the dependency graph uh this is

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the depth at which log4j first occurred

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in that dependency graph and if it's

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five layers deep you've got a lot of

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people who need to do manual effort

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before you can actually fix your problem

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so your problem more looks like this

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uh-oh but we're not Java we're not Maven

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we don't have these problems right well

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what what would happen if something

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similar happened in a different

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ecosystem

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so things like npm and pep the the

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resolution algorithm prefers more recent

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versions so that newer automatically

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that fixed version is automatically

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pulled in

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um uh okay look there are some weirdness

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that happens in other languages npm

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might give you the old version and the

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new version but we won't get into that

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um the new patched version is going to

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be automatically pulled into your

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dependency trees you win unless the new

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version that you just pulled in actually

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introduces a bunch of problems uh like

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what happened recently ish

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a developer pushed deliberately breaking

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versions of their dependency and then

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that was automatically propagated across

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the entire ecosystem when npm stepped in

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and removed the versions it's ah look

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it's all a giant mess dependencies are a

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giant mess what what is better do we

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pull in the new versions do we leave the

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old stable versions I can't answer that

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um I don't think I can even answer this

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one what do I do one of the things you

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can do is watch Evan's talk from

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yesterday if you've got time travel or

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can access the stream later another

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thing you could do is look at your

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graphs of your dependencies on

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depths.dev and no no not not despair but

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I I kid but really knowing is very

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useful

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um so this is a dependency graph uh look

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at what these are all the paths to the

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advisories maybe you only want to look

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for one particular advisory at least

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knowing the scale of your problem

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is a start

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okay so please go and fix this for us

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use our data you can get it it's free

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that you don't even need an API key go

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to daps.dev use the API use the bigquery

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data set please won't someone fix this

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for us thank you very much

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[Applause]

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how'd you think mommy went

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Everyone's a Critic yeah thanks Nikki

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did anyone else's shoulders raise in

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solidarity when they saw the dependency

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graph that looked like a mess because

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the mind sure did no

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right uh up on Deck we have Terence but

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first uh Daniel is going to talk about

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crowdsource databases

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hey everyone

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um I've

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it's good to see you in person

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so I'm going to talk about a little bit

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about the music brains first

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it's a crowdsource database of CD

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database CD information and other music

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information

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so if you've

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heard all the music that goes on in

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between sessions and you're joining

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online

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uh you might that music's done by Citrix

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[Applause]

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so

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uh we've got music brains has got

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millions of artists if you find an

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artist we've probably got it

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um from Python's perspective uh

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I want you to go and download a music

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brains Picard it's a music playing

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attacker you add music to it and you'll

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hopefully get met

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um metadata so

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this is the Beatles

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it's got

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no barcodes and all that sort of thing

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um so this is sort of a project that I

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sometimes do on the couch so

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if you've got a couch and if you've got

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a laptop

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I feel free to create an account

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um and see if there's anything missing

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tackle your music and

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if it's missing feel free to add it

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um from once you get past the basics

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um notice there's lots of EX things like

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external external links so

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um find people's social media handles

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find their soundclouds

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feel free to add that sort of thing if

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it's missing

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um if you go to some of the other

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artists

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you notice we've got a summary from

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Wikipedia

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that's linked through a project called

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wikidata so if you haven't heard of

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wikidata that's the data behind

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lots of Wikipedia Pages the problem it's

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trying to solve is you've got all these

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different languages so you're going to

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have your Spanish version of the

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Wikipedia page to the English version

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the Wikipedia page there's a whole bunch

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of facts and a place to put all those

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facts is

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um we're here data

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so if you go to a Wikipedia page

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uh it's things like these info boxes

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that all gets populated by wikidata

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so

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things like genre you only have to

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upload play that in one place and all

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the Wikipedia pages will instantly be

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updated if they use the right templates

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and that sort of thing

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so once you've tagged your music

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the next thing is to

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add it starts to

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um we had if needed uh

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then you can extend that to Wikipedia

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um the interesting thing for me when

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you're trying to link these things is

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the authority authority control template

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which links several different databases

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that are there for music so there's

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um all the rights organizations of who

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actually write write the songs and

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things like that that all across links

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probably

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if um is it not your thing

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uh

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go to open street map

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if you ever played a Pokemon go and the

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map's not quite right you see a road

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that's sort of creep sort of a meter off

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they all import

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openstreetmap data so

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all you need to do is create accounts

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it's got a web-based tool and you can

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just move the lines slightly so it'll

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matches properly if it annoys you feel

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free to fix it

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um that

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there's other crowd Source things like

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um scientific things if you've heard of

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Galaxy Zoo they were trying to classify

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different types of Glorious galaxies so

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spherical and spiral

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feel free to look for these sort of

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things but while you're on the couch

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feel free to do something useful

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thank you

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hey thanks Daniel it's um I saw Amanda

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Hogan's talk before the afternoon tea

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break and seeing the difficulties you

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had fighting through trying to scrape

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Wikipedia and seeing this Wiki data

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00:12:04,980 --> 00:12:09,000
stuff makes me excited for how much

284
00:12:07,260 --> 00:12:11,339
easier it could be trying to try and

285
00:12:09,000 --> 00:12:14,160
expand on those sorts of things uh on

286
00:12:11,339 --> 00:12:18,240
Deck we have Gerard Hogan

287
00:12:14,160 --> 00:12:20,820
but first we have Terence hunt who's

288
00:12:18,240 --> 00:12:24,120
going to talk about

289
00:12:20,820 --> 00:12:26,940
our favorite Airline

290
00:12:24,120 --> 00:12:28,560
so evidently I don't work for Qantas no

291
00:12:26,940 --> 00:12:30,839
it's Rivals I just want to say that for

292
00:12:28,560 --> 00:12:33,360
transparency but I wanted to talk about

293
00:12:30,839 --> 00:12:36,180
this because it's surprising how much we

294
00:12:33,360 --> 00:12:37,860
sort of forget or forgive many companies

295
00:12:36,180 --> 00:12:39,720
well some of the bad practices they do

296
00:12:37,860 --> 00:12:42,600
about security

297
00:12:39,720 --> 00:12:44,519
so before the world ended in 2020 I

298
00:12:42,600 --> 00:12:46,800
managed to speak a squeak out one last

299
00:12:44,519 --> 00:12:49,260
flight was a work trip flying back from

300
00:12:46,800 --> 00:12:51,000
London to Melbourne by Dubai I was

301
00:12:49,260 --> 00:12:53,220
sitting in my plane seat about to turn

302
00:12:51,000 --> 00:12:55,139
my phone onto airplane mode when my

303
00:12:53,220 --> 00:12:58,200
phone still somehow connected to the

304
00:12:55,139 --> 00:13:00,540
airport Wi-Fi got three notifications

305
00:12:58,200 --> 00:13:03,240
one from Instagram

306
00:13:00,540 --> 00:13:05,100
one from Facebook Messenger

307
00:13:03,240 --> 00:13:07,620
and one from Gmail

308
00:13:05,100 --> 00:13:09,180
I didn't reset my pin though

309
00:13:07,620 --> 00:13:11,339
well

310
00:13:09,180 --> 00:13:13,800
crud there's kids around here I didn't

311
00:13:11,339 --> 00:13:15,779
want to swear but yes

312
00:13:13,800 --> 00:13:17,940
I only found out after when I learned

313
00:13:15,779 --> 00:13:20,760
back in Melbourne that the person who

314
00:13:17,940 --> 00:13:23,040
hacked me was my friend according to

315
00:13:20,760 --> 00:13:24,959
them they kind of wanted to test it out

316
00:13:23,040 --> 00:13:26,220
and thought it wouldn't be that easy to

317
00:13:24,959 --> 00:13:28,560
hack me

318
00:13:26,220 --> 00:13:30,420
and still whether or not depressed

319
00:13:28,560 --> 00:13:33,120
charges and still considering that

320
00:13:30,420 --> 00:13:35,040
however I didn't know that my friend was

321
00:13:33,120 --> 00:13:37,320
the one that hacked me during my flight

322
00:13:35,040 --> 00:13:39,899
from Dubai to Melbourne so I did what

323
00:13:37,320 --> 00:13:42,300
any rational person would do I purchased

324
00:13:39,899 --> 00:13:44,339
the super expensive plain Wi-Fi so I can

325
00:13:42,300 --> 00:13:47,399
try and recover my account during the

326
00:13:44,339 --> 00:13:49,260
long long flight and yes as you can

327
00:13:47,399 --> 00:13:51,120
expect the internet speeds on a plane

328
00:13:49,260 --> 00:13:54,360
fly across the Indian Ocean

329
00:13:51,120 --> 00:13:56,220
isn't that fast but I persevered and

330
00:13:54,360 --> 00:13:58,260
despite the numerous Network timeouts

331
00:13:56,220 --> 00:14:00,480
and long waiting screens I managed to

332
00:13:58,260 --> 00:14:02,040
change the pin through something that I

333
00:14:00,480 --> 00:14:04,320
know

334
00:14:02,040 --> 00:14:06,060
how you may ask well I'm not sure if

335
00:14:04,320 --> 00:14:08,100
this is the current process but back

336
00:14:06,060 --> 00:14:11,220
then if Qantas would ask these four

337
00:14:08,100 --> 00:14:13,019
questions to verify my identity and yes

338
00:14:11,220 --> 00:14:15,720
these are the same questions that my

339
00:14:13,019 --> 00:14:18,899
friend got asked as well

340
00:14:15,720 --> 00:14:21,720
I only need to answer three of the four

341
00:14:18,899 --> 00:14:23,160
and looking back you can realize how

342
00:14:21,720 --> 00:14:25,380
easily accessible this sort of

343
00:14:23,160 --> 00:14:26,579
information is especially if you if this

344
00:14:25,380 --> 00:14:29,459
is the person

345
00:14:26,579 --> 00:14:31,200
that you trust like a friend for example

346
00:14:29,459 --> 00:14:33,300
my birthday was available to all my

347
00:14:31,200 --> 00:14:35,399
friends on Facebook and Twitter

348
00:14:33,300 --> 00:14:37,700
and if they've been a friend for a long

349
00:14:35,399 --> 00:14:40,560
time like let's say back at high school

350
00:14:37,700 --> 00:14:43,320
it's pretty much game over

351
00:14:40,560 --> 00:14:47,100
so first lesson don't make your security

352
00:14:43,320 --> 00:14:50,040
questions at easily obtainable answers

353
00:14:47,100 --> 00:14:51,240
now when I wrote this article when I

354
00:14:50,040 --> 00:14:53,579
wrote an article about this back then

355
00:14:51,240 --> 00:14:56,100
this was going to be a massive rant but

356
00:14:53,579 --> 00:14:58,019
they changed it so now you can change

357
00:14:56,100 --> 00:15:00,480
the security questions to be

358
00:14:58,019 --> 00:15:01,860
something else you should review them I

359
00:15:00,480 --> 00:15:04,380
should I recommend you to review them

360
00:15:01,860 --> 00:15:06,360
the new set are slightly better than the

361
00:15:04,380 --> 00:15:08,040
previous one instead of asking your date

362
00:15:06,360 --> 00:15:09,240
of birth they ask like what's your

363
00:15:08,040 --> 00:15:11,839
favorite book

364
00:15:09,240 --> 00:15:13,860
okay I especially do love the

365
00:15:11,839 --> 00:15:15,959
miscellaneous word or sentence option

366
00:15:13,860 --> 00:15:18,240
because you can effectually make a

367
00:15:15,959 --> 00:15:19,920
verification password so if you use

368
00:15:18,240 --> 00:15:21,899
something like one password you can just

369
00:15:19,920 --> 00:15:23,519
create another password field and there

370
00:15:21,899 --> 00:15:25,440
you go Bob's your uncle

371
00:15:23,519 --> 00:15:28,440
a bit of a side note please please

372
00:15:25,440 --> 00:15:30,540
please stop using SMS as a multi-factor

373
00:15:28,440 --> 00:15:33,959
authentication option

374
00:15:30,540 --> 00:15:37,860
we all know why this is bad it is

375
00:15:33,959 --> 00:15:42,300
however the most accessible option but

376
00:15:37,860 --> 00:15:44,579
and I'm all of us are here are great

377
00:15:42,300 --> 00:15:46,199
things thinkers and all that we really

378
00:15:44,579 --> 00:15:48,180
should get rid of it this is the

379
00:15:46,199 --> 00:15:51,420
ironically the only thing I agree with

380
00:15:48,180 --> 00:15:53,160
Elon Musk we should get rid of it it

381
00:15:51,420 --> 00:15:54,779
must go

382
00:15:53,160 --> 00:15:56,639
fun fact

383
00:15:54,779 --> 00:15:58,260
they know what this actually now offers

384
00:15:56,639 --> 00:15:59,699
multi-factor authentication through an

385
00:15:58,260 --> 00:16:02,339
authenticator app so if you didn't know

386
00:15:59,699 --> 00:16:03,600
that congratulations now you know I'm

387
00:16:02,339 --> 00:16:05,399
not saying this is something to do with

388
00:16:03,600 --> 00:16:08,399
an article I wrote two years ago

389
00:16:05,399 --> 00:16:08,399
but

390
00:16:09,180 --> 00:16:13,980
um the only bad thing is it doesn't

391
00:16:11,160 --> 00:16:15,540
extend to all Quantum Services so for

392
00:16:13,980 --> 00:16:17,579
example Qantas of money so if you have a

393
00:16:15,540 --> 00:16:19,560
Qantas credit card this is going to

394
00:16:17,579 --> 00:16:21,779
protect you fun fact watches money is

395
00:16:19,560 --> 00:16:23,339
actually owned by NAB

396
00:16:21,779 --> 00:16:25,199
number three

397
00:16:23,339 --> 00:16:27,420
your Qantas frequent flyer number can

398
00:16:25,199 --> 00:16:28,560
give you access to everything we all

399
00:16:27,420 --> 00:16:31,320
think it's some sort of membership

400
00:16:28,560 --> 00:16:33,180
number right but the amount of

401
00:16:31,320 --> 00:16:35,880
information that's connected to it

402
00:16:33,180 --> 00:16:36,860
kind of concerns me for example you can

403
00:16:35,880 --> 00:16:39,779
actually walk up to yourself

404
00:16:36,860 --> 00:16:42,000
self-service kiosk put in someone's qff

405
00:16:39,779 --> 00:16:44,040
number and you got someone's ticket

406
00:16:42,000 --> 00:16:46,199
right there

407
00:16:44,040 --> 00:16:48,120
or you can get away with a lot more

408
00:16:46,199 --> 00:16:49,259
information than just a booking

409
00:16:48,120 --> 00:16:51,480
reference

410
00:16:49,259 --> 00:16:52,940
now if you're social media influencer

411
00:16:51,480 --> 00:16:55,560
they no longer print this information

412
00:16:52,940 --> 00:16:58,699
thankfully quantities did this since

413
00:16:55,560 --> 00:17:01,320
October 2019 virgin did this in March 20

414
00:16:58,699 --> 00:17:03,360
but not airlines not all Airlines do

415
00:17:01,320 --> 00:17:04,980
this Emirates is a code share based on

416
00:17:03,360 --> 00:17:07,199
printer

417
00:17:04,980 --> 00:17:10,760
oh so why are we still doing this in

418
00:17:07,199 --> 00:17:10,760
2023 there are

419
00:17:10,799 --> 00:17:16,400
combination so we should change that

420
00:17:12,179 --> 00:17:16,400
Qantas please fix this thank you

421
00:17:18,179 --> 00:17:24,020
hey uh thanks Terence and uh thanks to

422
00:17:21,660 --> 00:17:24,020
your mother

423
00:17:25,679 --> 00:17:29,220
um and an extra thanks to your friend

424
00:17:27,419 --> 00:17:31,620
for providing excellent lightning talk

425
00:17:29,220 --> 00:17:33,900
material uh up on Deck we have Nick

426
00:17:31,620 --> 00:17:36,059
Crouch but first Gerard Hogan who's

427
00:17:33,900 --> 00:17:38,640
going to tell you something that you

428
00:17:36,059 --> 00:17:40,679
really should know hi thanks everyone

429
00:17:38,640 --> 00:17:42,780
yes um I have to start with the

430
00:17:40,679 --> 00:17:47,039
confession uh first I have no slides

431
00:17:42,780 --> 00:17:49,500
secondly I'm not a coder but all of my

432
00:17:47,039 --> 00:17:52,020
friends all of my family and most of my

433
00:17:49,500 --> 00:17:53,880
co-workers are so this is something that

434
00:17:52,020 --> 00:17:55,200
is kind of near and dear to me

435
00:17:53,880 --> 00:17:57,960
um

436
00:17:55,200 --> 00:18:00,360
yes also there are four related Hogans

437
00:17:57,960 --> 00:18:02,160
here today I'm it's not a coincidence

438
00:18:00,360 --> 00:18:02,940
um but what I do for a job is I talk to

439
00:18:02,160 --> 00:18:05,160
people

440
00:18:02,940 --> 00:18:06,480
I'm a user experience researcher so I go

441
00:18:05,160 --> 00:18:08,640
out into the world and talk to people

442
00:18:06,480 --> 00:18:10,500
about what they like about the apps that

443
00:18:08,640 --> 00:18:11,820
I work on what they hate what they want

444
00:18:10,500 --> 00:18:13,320
what they wish they do and what they

445
00:18:11,820 --> 00:18:16,500
really wish we'd stop doing

446
00:18:13,320 --> 00:18:18,600
so um I feel incredibly privileged to be

447
00:18:16,500 --> 00:18:21,179
able to do that because I get to see the

448
00:18:18,600 --> 00:18:22,799
hard the hard work that our developers

449
00:18:21,179 --> 00:18:24,660
and designers put into building things

450
00:18:22,799 --> 00:18:27,179
out in the world and see how people

451
00:18:24,660 --> 00:18:29,880
actually interact with those things

452
00:18:27,179 --> 00:18:31,080
and if I could sum up what I've learned

453
00:18:29,880 --> 00:18:33,900
in all the years that I've been doing

454
00:18:31,080 --> 00:18:35,760
user research is that you are not your

455
00:18:33,900 --> 00:18:39,539
user

456
00:18:35,760 --> 00:18:41,280
um and I guess what that comes from is

457
00:18:39,539 --> 00:18:43,559
seeing people try things in the real

458
00:18:41,280 --> 00:18:45,240
world and being alarmed at how they try

459
00:18:43,559 --> 00:18:47,460
and do things that you never thought

460
00:18:45,240 --> 00:18:48,539
they'd do with your apps

461
00:18:47,460 --> 00:18:50,880
um to tell you a bit of a story about

462
00:18:48,539 --> 00:18:53,160
that I used to work for a bank and when

463
00:18:50,880 --> 00:18:55,500
I worked there I was working on the

464
00:18:53,160 --> 00:18:58,440
first generation of our iPad app so yes

465
00:18:55,500 --> 00:19:00,240
it really was a very long time ago

466
00:18:58,440 --> 00:19:02,700
um and we built this beautiful app that

467
00:19:00,240 --> 00:19:05,220
actually won a ton of Design Awards and

468
00:19:02,700 --> 00:19:06,960
we released it into the world

469
00:19:05,220 --> 00:19:08,580
didn't get used very much

470
00:19:06,960 --> 00:19:09,900
feedback was terrible

471
00:19:08,580 --> 00:19:11,580
so we sat there and looked at it and

472
00:19:09,900 --> 00:19:13,559
thought what is going on this thing is

473
00:19:11,580 --> 00:19:14,880
beautiful so we went a couple of

474
00:19:13,559 --> 00:19:17,220
researchers we went out into the world

475
00:19:14,880 --> 00:19:19,080
and spoke to people and gave them the

476
00:19:17,220 --> 00:19:20,760
app and said okay do some things with it

477
00:19:19,080 --> 00:19:22,380
and what we found was people looked at

478
00:19:20,760 --> 00:19:24,600
it and said

479
00:19:22,380 --> 00:19:26,400
looks pretty but it doesn't do much

480
00:19:24,600 --> 00:19:27,720
we're sitting there going what do you

481
00:19:26,400 --> 00:19:29,640
mean it doesn't do much it has all these

482
00:19:27,720 --> 00:19:31,380
amazing interactions you can drag One

483
00:19:29,640 --> 00:19:33,539
account on top of the other and have it

484
00:19:31,380 --> 00:19:35,280
transfer money it's beautiful

485
00:19:33,539 --> 00:19:37,860
but the interactions were not

486
00:19:35,280 --> 00:19:40,140
discoverable and so this is the this is

487
00:19:37,860 --> 00:19:41,580
the root of the problem where you can

488
00:19:40,140 --> 00:19:43,860
spend a lot of time building something

489
00:19:41,580 --> 00:19:46,020
and you get so caught up in it that you

490
00:19:43,860 --> 00:19:48,360
don't realize that for other people it's

491
00:19:46,020 --> 00:19:51,240
not discoverable

492
00:19:48,360 --> 00:19:53,340
and I so I guess what I'd like you to do

493
00:19:51,240 --> 00:19:54,660
is bring that story Bracken back into

494
00:19:53,340 --> 00:19:57,360
your own work

495
00:19:54,660 --> 00:19:59,340
and think about all of the things that

496
00:19:57,360 --> 00:20:00,780
you're deeply invested in that you've

497
00:19:59,340 --> 00:20:02,760
spent all of this time developing and

498
00:20:00,780 --> 00:20:04,620
chances are it's because what Drew

499
00:20:02,760 --> 00:20:06,120
decoding in the first place or the thing

500
00:20:04,620 --> 00:20:07,799
that you're working on now is because

501
00:20:06,120 --> 00:20:09,179
it's something you care about deeply and

502
00:20:07,799 --> 00:20:10,440
something that you want to work want to

503
00:20:09,179 --> 00:20:13,679
use yourself

504
00:20:10,440 --> 00:20:17,160
but maybe think about

505
00:20:13,679 --> 00:20:20,280
all of those things and whether I say my

506
00:20:17,160 --> 00:20:22,140
mum would be able to use them

507
00:20:20,280 --> 00:20:23,760
now granted that's a hard thing to do to

508
00:20:22,140 --> 00:20:25,200
put yourself in someone else's shoes and

509
00:20:23,760 --> 00:20:27,360
so that's where user research comes in

510
00:20:25,200 --> 00:20:29,580
go out into the world and talk to people

511
00:20:27,360 --> 00:20:32,220
and honestly the easiest thing to do is

512
00:20:29,580 --> 00:20:34,500
to give someone your app or your website

513
00:20:32,220 --> 00:20:37,860
or whatever it is that you're working on

514
00:20:34,500 --> 00:20:40,700
and say to them do a thing tell me how

515
00:20:37,860 --> 00:20:43,440
that goes and watch them and generally

516
00:20:40,700 --> 00:20:44,520
generally you might be alarmed by what

517
00:20:43,440 --> 00:20:45,179
happens

518
00:20:44,520 --> 00:20:47,400
um

519
00:20:45,179 --> 00:20:49,020
people people designers often get very

520
00:20:47,400 --> 00:20:51,120
upset when they see people doing things

521
00:20:49,020 --> 00:20:52,860
in a way that they didn't expect or

522
00:20:51,120 --> 00:20:54,179
they've changed the font size and it

523
00:20:52,860 --> 00:20:56,100
doesn't make any sense things don't fit

524
00:20:54,179 --> 00:20:58,020
on the screen anymore so there are a ton

525
00:20:56,100 --> 00:20:59,940
of things that you learn only by talking

526
00:20:58,020 --> 00:21:01,740
to people

527
00:20:59,940 --> 00:21:04,020
and there are easy ways that you can do

528
00:21:01,740 --> 00:21:05,220
this you don't need to be an actual user

529
00:21:04,020 --> 00:21:06,960
experience researcher you don't need to

530
00:21:05,220 --> 00:21:09,419
use expensive tools there are things

531
00:21:06,960 --> 00:21:12,059
that you can find on the web like um

532
00:21:09,419 --> 00:21:15,120
five second test lets you test designs

533
00:21:12,059 --> 00:21:16,980
uh SurveyMonkey lets you build and send

534
00:21:15,120 --> 00:21:18,960
surveys out into the world so there are

535
00:21:16,980 --> 00:21:21,419
things that you can do yourself to

536
00:21:18,960 --> 00:21:24,840
gather some of this knowledge so if I

537
00:21:21,419 --> 00:21:27,299
could bring you back to my I want to put

538
00:21:24,840 --> 00:21:30,179
this on a t-shirt slogan

539
00:21:27,299 --> 00:21:32,520
is that you are not your user and

540
00:21:30,179 --> 00:21:34,200
anytime you spend thinking like a

541
00:21:32,520 --> 00:21:36,000
researcher and being out in the world

542
00:21:34,200 --> 00:21:37,860
and talking to people about how they

543
00:21:36,000 --> 00:21:40,200
might want to use your thing is just

544
00:21:37,860 --> 00:21:42,840
going to make your end product better

545
00:21:40,200 --> 00:21:45,780
so that's it thank you very much

546
00:21:42,840 --> 00:21:47,940
thanks Gerard I am absolutely first in

547
00:21:45,780 --> 00:21:49,020
line for those t-shirts that sounds

548
00:21:47,940 --> 00:21:51,600
fantastic

549
00:21:49,020 --> 00:21:53,340
yes not our use of it was the presenter

550
00:21:51,600 --> 00:21:56,340
of you are not your user

551
00:21:53,340 --> 00:21:59,340
which you were but you're not a user uh

552
00:21:56,340 --> 00:22:00,780
Nick Crouch is up on this uh lectern but

553
00:21:59,340 --> 00:22:02,820
first I have a card that says this

554
00:22:00,780 --> 00:22:05,039
question will not be answered what is

555
00:22:02,820 --> 00:22:07,380
the question let's ask yes

556
00:22:05,039 --> 00:22:09,780
right so I would also like to pre-face

557
00:22:07,380 --> 00:22:12,179
this by saying I am not a coder I don't

558
00:22:09,780 --> 00:22:14,460
know anything about almost anything Tech

559
00:22:12,179 --> 00:22:16,260
related but I do know about the Fast and

560
00:22:14,460 --> 00:22:19,559
the Furious movies

561
00:22:16,260 --> 00:22:22,620
uh this started because I realized that

562
00:22:19,559 --> 00:22:24,000
every single one of the now 11 Fast and

563
00:22:22,620 --> 00:22:26,760
the Furious movies have a different

564
00:22:24,000 --> 00:22:28,260
naming scheme and I don't quite

565
00:22:26,760 --> 00:22:30,179
understand how they've managed that and

566
00:22:28,260 --> 00:22:33,059
I'm very very excited to see what they

567
00:22:30,179 --> 00:22:34,799
do with ten two and possibly ten three

568
00:22:33,059 --> 00:22:36,480
so I'm just going to list them off very

569
00:22:34,799 --> 00:22:38,640
quickly uh we have the Fast and the

570
00:22:36,480 --> 00:22:40,799
Furious Too Fast Too Furious the Fast

571
00:22:38,640 --> 00:22:43,919
and the Furious Tokyo Drift Fast and

572
00:22:40,799 --> 00:22:47,480
Furious Fast Five fast and furious six

573
00:22:43,919 --> 00:22:51,960
Furious 7 the fate of the Furious

574
00:22:47,480 --> 00:22:54,179
F9 and fast X and then there is the uh

575
00:22:51,960 --> 00:22:56,100
the offshoot The Fast and the Furious

576
00:22:54,179 --> 00:22:57,419
Hobson sure I think it's called

577
00:22:56,100 --> 00:22:59,280
so

578
00:22:57,419 --> 00:23:00,780
as I was looking at these I thought I'd

579
00:22:59,280 --> 00:23:02,760
just write a couple of words about each

580
00:23:00,780 --> 00:23:05,100
of them so that we can all be on the

581
00:23:02,760 --> 00:23:07,260
same page so number one we've got Paul

582
00:23:05,100 --> 00:23:08,400
Walker we've got Vin Diesel dear friends

583
00:23:07,260 --> 00:23:10,860
now

584
00:23:08,400 --> 00:23:12,179
number two uh this is the first one

585
00:23:10,860 --> 00:23:13,740
without Vin Diesel in it which is

586
00:23:12,179 --> 00:23:15,419
interesting because these are a Vin

587
00:23:13,740 --> 00:23:17,520
Diesel passion project

588
00:23:15,419 --> 00:23:20,460
uh number three is once again without

589
00:23:17,520 --> 00:23:23,159
Vin Diesel it's the Tokyo Drift one it's

590
00:23:20,460 --> 00:23:26,280
uh we're gonna come back to Tokyo Drift

591
00:23:23,159 --> 00:23:27,960
it's um right number four

592
00:23:26,280 --> 00:23:30,900
doesn't seem to matter at all number

593
00:23:27,960 --> 00:23:33,480
five number five is the best one number

594
00:23:30,900 --> 00:23:37,140
five is the one where the rock becomes

595
00:23:33,480 --> 00:23:40,919
part of the uh crew I guess

596
00:23:37,140 --> 00:23:41,940
uh and they have it's the ones that the

597
00:23:40,919 --> 00:23:43,740
current

598
00:23:41,940 --> 00:23:47,880
X

599
00:23:43,740 --> 00:23:51,299
plus X2 plus X3 is trying to go back to

600
00:23:47,880 --> 00:23:53,220
and we'll come back to that as well uh

601
00:23:51,299 --> 00:23:54,600
number six is the one where Paul Walker

602
00:23:53,220 --> 00:23:56,039
passed away

603
00:23:54,600 --> 00:23:58,679
and that became a bit of a problem

604
00:23:56,039 --> 00:24:02,220
because instead of having his character

605
00:23:58,679 --> 00:24:04,679
die they kind of just made him drive

606
00:24:02,220 --> 00:24:07,260
into the sunset literally

607
00:24:04,679 --> 00:24:09,120
uh which becomes a problem

608
00:24:07,260 --> 00:24:11,580
once we reach the end of the series

609
00:24:09,120 --> 00:24:14,460
because now everyone's come back for

610
00:24:11,580 --> 00:24:16,260
this big end thing and Paul Walker's

611
00:24:14,460 --> 00:24:17,760
character kind of just looks like a bad

612
00:24:16,260 --> 00:24:20,280
guy because he's not coming back to help

613
00:24:17,760 --> 00:24:23,760
his friends uh so then maybe should have

614
00:24:20,280 --> 00:24:26,159
just like made that go away so number

615
00:24:23,760 --> 00:24:27,900
seven is where we have Jason Statham

616
00:24:26,159 --> 00:24:30,960
join the team well he doesn't join the

617
00:24:27,900 --> 00:24:32,460
team He's the bad guy also like spoilers

618
00:24:30,960 --> 00:24:33,440
obviously

619
00:24:32,460 --> 00:24:36,360
um

620
00:24:33,440 --> 00:24:39,480
but also number seven is where we have

621
00:24:36,360 --> 00:24:42,960
introduced our third bold main character

622
00:24:39,480 --> 00:24:45,059
no fourth fourth ball main character uh

623
00:24:42,960 --> 00:24:46,679
number eight is the there's there's a

624
00:24:45,059 --> 00:24:49,500
lot of stuff with Charlize Theron and

625
00:24:46,679 --> 00:24:52,140
there's a submarine uh number nine that

626
00:24:49,500 --> 00:24:54,539
time they actually went to space I am

627
00:24:52,140 --> 00:24:57,960
not joking they go to space in the ninth

628
00:24:54,539 --> 00:25:02,220
movie uh number 10 we we get John Cena

629
00:24:57,960 --> 00:25:03,960
which is a fun addition uh and it is the

630
00:25:02,220 --> 00:25:06,059
end except they've confirmed there's at

631
00:25:03,960 --> 00:25:09,960
least one more if not two more

632
00:25:06,059 --> 00:25:11,159
right so I want to go back to Tokyo

633
00:25:09,960 --> 00:25:13,020
Drift

634
00:25:11,159 --> 00:25:16,080
to explain

635
00:25:13,020 --> 00:25:17,280
the insanity that is the timeline of

636
00:25:16,080 --> 00:25:19,980
these movies

637
00:25:17,280 --> 00:25:22,860
they mostly are in order except for

638
00:25:19,980 --> 00:25:25,200
Tokyo Drift they got to Tokyo Drift and

639
00:25:22,860 --> 00:25:27,419
then decided to keep making movies

640
00:25:25,200 --> 00:25:30,000
afterwards they kind of finalized it and

641
00:25:27,419 --> 00:25:33,240
then went no we'll just keep going so

642
00:25:30,000 --> 00:25:35,940
there is a character from Tokyo Drift

643
00:25:33,240 --> 00:25:38,580
that is then killed off in that movie

644
00:25:35,940 --> 00:25:40,919
and shows up again in the next one

645
00:25:38,580 --> 00:25:43,559
so in order for that to happen they

646
00:25:40,919 --> 00:25:46,740
decided to put number three

647
00:25:43,559 --> 00:25:48,539
in between six and seven

648
00:25:46,740 --> 00:25:50,940
um but then they got

649
00:25:48,539 --> 00:25:52,799
to number six and decided they still

650
00:25:50,940 --> 00:25:56,039
liked the character

651
00:25:52,799 --> 00:25:58,500
so they reckoned it again

652
00:25:56,039 --> 00:26:00,419
and didn't kill him off they put it

653
00:25:58,500 --> 00:26:02,400
after credit scene where he mysteriously

654
00:26:00,419 --> 00:26:03,059
didn't die

655
00:26:02,400 --> 00:26:05,340
um

656
00:26:03,059 --> 00:26:08,220
and they've done similar things three

657
00:26:05,340 --> 00:26:11,220
times now uh there are three characters

658
00:26:08,220 --> 00:26:14,460
who have died in a movie and then have

659
00:26:11,220 --> 00:26:16,380
come back it happened with a a brain

660
00:26:14,460 --> 00:26:18,840
damage Amnesia situation

661
00:26:16,380 --> 00:26:20,580
and it's now about to happen we don't

662
00:26:18,840 --> 00:26:23,539
know why because it's been it was

663
00:26:20,580 --> 00:26:27,960
mysteriously suggested at the end of x

664
00:26:23,539 --> 00:26:31,919
uh that another character is coming back

665
00:26:27,960 --> 00:26:34,740
um honestly these movies

666
00:26:31,919 --> 00:26:36,539
they're just ridiculous and I love them

667
00:26:34,740 --> 00:26:39,120
so much because of that they stopped

668
00:26:36,539 --> 00:26:41,520
being about cars in three they became

669
00:26:39,120 --> 00:26:43,740
action movies in four and have just gone

670
00:26:41,520 --> 00:26:45,120
off the rail since then and I love them

671
00:26:43,740 --> 00:26:47,340
very much

672
00:26:45,120 --> 00:26:49,919
um and that's it

673
00:26:47,340 --> 00:26:51,360
thank you Jess

674
00:26:49,919 --> 00:26:53,460
um

675
00:26:51,360 --> 00:26:54,960
it's good we have more link jokes from a

676
00:26:53,460 --> 00:26:57,659
lightning talk than we've had in years

677
00:26:54,960 --> 00:27:00,679
which is great I found the list of uh 10

678
00:26:57,659 --> 00:27:04,260
3 and 10 4 names uh we have tiger

679
00:27:00,679 --> 00:27:06,240
jaguar and panther yeah personally I'm

680
00:27:04,260 --> 00:27:08,940
looking forward to Beta Testing Fast and

681
00:27:06,240 --> 00:27:10,580
Furious and Noma drift um

682
00:27:08,940 --> 00:27:13,320
it's gonna be good

683
00:27:10,580 --> 00:27:17,580
expecting big things up on Deck we have

684
00:27:13,320 --> 00:27:19,500
Aleister Robertson but first Nick Crouch

685
00:27:17,580 --> 00:27:21,059
hi I'm your friendly neighborhood

686
00:27:19,500 --> 00:27:22,620
sponsorship coordinator

687
00:27:21,059 --> 00:27:24,240
um first of all brief clap for the

688
00:27:22,620 --> 00:27:27,299
sponsors

689
00:27:24,240 --> 00:27:30,179
thank you no ads

690
00:27:27,299 --> 00:27:31,919
um so uh quick show of hands who's heard

691
00:27:30,179 --> 00:27:33,480
of streamlit

692
00:27:31,919 --> 00:27:34,679
all right so there's a number of you in

693
00:27:33,480 --> 00:27:37,380
the audience this is not going to be new

694
00:27:34,679 --> 00:27:39,720
to you I'm very sorry for that um maybe

695
00:27:37,380 --> 00:27:41,700
there's some new stuff before me

696
00:27:39,720 --> 00:27:43,740
um that you didn't know about already

697
00:27:41,700 --> 00:27:46,440
um yesterday sitting in the student

698
00:27:43,740 --> 00:27:48,779
showcase uh I noticed and there was a

699
00:27:46,440 --> 00:27:51,480
lot of conversations and a lot of a lot

700
00:27:48,779 --> 00:27:52,919
of starts to talks that went I wanted to

701
00:27:51,480 --> 00:27:54,720
build a thing

702
00:27:52,919 --> 00:27:56,940
um but and then I got out flask and I've

703
00:27:54,720 --> 00:27:58,919
learned HTML and JavaScript so I could

704
00:27:56,940 --> 00:28:01,200
use flask really easily to build a UI

705
00:27:58,919 --> 00:28:03,000
and I'm sitting there and I'm thinking I

706
00:28:01,200 --> 00:28:04,620
mean these kids are amazing really like

707
00:28:03,000 --> 00:28:07,080
to be to be upfront if you missed the

708
00:28:04,620 --> 00:28:08,279
student showcase go back and watch it I

709
00:28:07,080 --> 00:28:09,179
think it'll be on YouTube because it's

710
00:28:08,279 --> 00:28:11,400
awesome

711
00:28:09,179 --> 00:28:13,200
but I was sitting there thinking this is

712
00:28:11,400 --> 00:28:15,179
not HTML and JavaScript column this is

713
00:28:13,200 --> 00:28:16,620
pycon so

714
00:28:15,179 --> 00:28:18,419
um with that in mind I want to show

715
00:28:16,620 --> 00:28:22,140
everyone in the room how you can really

716
00:28:18,419 --> 00:28:23,700
quickly build some apps in in Python

717
00:28:22,140 --> 00:28:26,600
um that that aren't Russell's thing and

718
00:28:23,700 --> 00:28:26,600
I apologize for that

719
00:28:26,820 --> 00:28:30,900
um so this is streamlit on the left hand

720
00:28:29,460 --> 00:28:33,419
side you can see the code on the right

721
00:28:30,900 --> 00:28:35,760
hand side you can see the output so I've

722
00:28:33,419 --> 00:28:38,279
got my St dot stop here all that's going

723
00:28:35,760 --> 00:28:40,620
to do is act like a breakpoint so when I

724
00:28:38,279 --> 00:28:42,000
hit Ctrl s you can see it says the

725
00:28:40,620 --> 00:28:45,419
source file has changed I'm going to hit

726
00:28:42,000 --> 00:28:47,520
always rerun so every time I change my

727
00:28:45,419 --> 00:28:49,500
input file

728
00:28:47,520 --> 00:28:51,779
it's going to refresh the page on the

729
00:28:49,500 --> 00:28:54,059
right hand side so now what I can start

730
00:28:51,779 --> 00:28:57,179
to do is really really easily build in

731
00:28:54,059 --> 00:28:58,740
some data entry or data exfiltration

732
00:28:57,179 --> 00:29:00,779
from somewhere

733
00:28:58,740 --> 00:29:03,500
exfiltration is not the right word don't

734
00:29:00,779 --> 00:29:03,500
do exfiltration

735
00:29:04,080 --> 00:29:08,760
and yeah that's saved so so now I've got

736
00:29:06,779 --> 00:29:10,860
my my load data I've taught it where to

737
00:29:08,760 --> 00:29:12,419
go and so now

738
00:29:10,860 --> 00:29:14,520
uh actually in the background we've

739
00:29:12,419 --> 00:29:16,440
defined that method and it's reloaded on

740
00:29:14,520 --> 00:29:17,760
the right hand side you can see I've got

741
00:29:16,440 --> 00:29:20,220
cached data in here we'll come back to

742
00:29:17,760 --> 00:29:21,179
that in a second so now I'm going to

743
00:29:20,220 --> 00:29:23,279
come down here I'm going to put my St

744
00:29:21,179 --> 00:29:25,080
dot stop after this block of code I'm

745
00:29:23,279 --> 00:29:27,059
going to hit Ctrl s you can see I'm now

746
00:29:25,080 --> 00:29:28,620
running load data because it's refreshed

747
00:29:27,059 --> 00:29:30,120
on the right hand side and it's starting

748
00:29:28,620 --> 00:29:32,279
to do the thing that I've asked it to do

749
00:29:30,120 --> 00:29:34,220
you can see that's basically go and load

750
00:29:32,279 --> 00:29:37,200
the data get 10 000 records out of it

751
00:29:34,220 --> 00:29:38,700
and that's been done fantastic excellent

752
00:29:37,200 --> 00:29:41,159
okay so you've got some data what do you

753
00:29:38,700 --> 00:29:42,840
do with it well first thing is let's

754
00:29:41,159 --> 00:29:45,000
take a look at it looking at data is

755
00:29:42,840 --> 00:29:47,100
really really easy

756
00:29:45,000 --> 00:29:48,899
looking at data consists of St dot write

757
00:29:47,100 --> 00:29:50,520
dataframe

758
00:29:48,899 --> 00:29:52,620
now I've got some data that I can look

759
00:29:50,520 --> 00:29:55,679
at great I can scroll through my data

760
00:29:52,620 --> 00:29:59,059
that's okay fine this is a data set from

761
00:29:55,679 --> 00:29:59,059
Uber nobody cares it doesn't matter

762
00:30:00,440 --> 00:30:05,460
in fact it's more interesting if you

763
00:30:02,460 --> 00:30:07,640
chart it so fc.bychart gives you a bar

764
00:30:05,460 --> 00:30:07,640
chart

765
00:30:07,940 --> 00:30:14,059
it is literally just passing it passing

766
00:30:10,320 --> 00:30:14,059
in a histogram that's that's pretty easy

767
00:30:14,700 --> 00:30:18,120
um

768
00:30:15,299 --> 00:30:20,220
now let's say I decided that rather than

769
00:30:18,120 --> 00:30:22,440
just knowing how many rides I take

770
00:30:20,220 --> 00:30:23,940
during it during different hours of the

771
00:30:22,440 --> 00:30:25,679
day I'd prefer to know where I took

772
00:30:23,940 --> 00:30:29,419
those rides um that's pretty easy as

773
00:30:25,679 --> 00:30:29,419
well I can just use st.map to do that

774
00:30:32,880 --> 00:30:37,799
so now I have a map of all my rides

775
00:30:35,940 --> 00:30:40,860
um so if you've got geospatial data you

776
00:30:37,799 --> 00:30:43,940
can start to map that within what

777
00:30:40,860 --> 00:30:43,940
three minutes and 30 seconds

778
00:30:44,240 --> 00:30:47,700
let's say rather than just mapping all

779
00:30:46,679 --> 00:30:49,200
your rides you actually want to know

780
00:30:47,700 --> 00:30:51,120
like where do you go at certain hours of

781
00:30:49,200 --> 00:30:53,820
the day I've got a colleague that did

782
00:30:51,120 --> 00:30:56,820
this with people getting picked up at

783
00:30:53,820 --> 00:30:58,620
various times of the day in London on

784
00:30:56,820 --> 00:31:02,100
their bike system he found somebody that

785
00:30:58,620 --> 00:31:03,539
took like four hours to go 2ks it was

786
00:31:02,100 --> 00:31:04,620
not the straightest of trips if you know

787
00:31:03,539 --> 00:31:07,980
what I mean

788
00:31:04,620 --> 00:31:11,279
so from here I've got a slider I can

789
00:31:07,980 --> 00:31:13,320
take my slider move it page refreshes I

790
00:31:11,279 --> 00:31:15,299
get a different cut of the data

791
00:31:13,320 --> 00:31:16,559
take my slider move it across here page

792
00:31:15,299 --> 00:31:19,260
refreshes I get a different cut of the

793
00:31:16,559 --> 00:31:20,940
data that's because over on the left

794
00:31:19,260 --> 00:31:24,360
hand side here I have my hour to filter

795
00:31:20,940 --> 00:31:27,480
is an st dot slider right so very easy

796
00:31:24,360 --> 00:31:29,039
to build input that data

797
00:31:27,480 --> 00:31:31,620
um we also have code blocks in

798
00:31:29,039 --> 00:31:34,200
streamlined that's pretty easy let's go

799
00:31:31,620 --> 00:31:36,120
ahead St dot code

800
00:31:34,200 --> 00:31:38,399
all of a sudden now I have a code block

801
00:31:36,120 --> 00:31:40,260
with syntax highlighting and last but

802
00:31:38,399 --> 00:31:43,279
not least

803
00:31:40,260 --> 00:31:43,279
it has notifications

804
00:31:43,559 --> 00:31:46,440
and it's last but not least because I'm

805
00:31:44,880 --> 00:31:47,399
going to run out of time so you can see

806
00:31:46,440 --> 00:31:49,620
down the bottom here it has

807
00:31:47,399 --> 00:31:51,539
notifications so if you want to really

808
00:31:49,620 --> 00:31:53,580
quickly and easily build out a an

809
00:31:51,539 --> 00:31:55,140
application to explore data show data do

810
00:31:53,580 --> 00:31:56,700
anything you really want with data and

811
00:31:55,140 --> 00:31:59,460
you don't want to have to learn HTML I

812
00:31:56,700 --> 00:32:02,159
don't want to learn HTML go ahead pip

813
00:31:59,460 --> 00:32:04,620
install streamlit and then the command

814
00:32:02,159 --> 00:32:09,140
is literally app run or streamlit run

815
00:32:04,620 --> 00:32:09,140
app.pi you're done thank you

816
00:32:10,919 --> 00:32:15,480
the Crouch everyone in no way saying

817
00:32:13,860 --> 00:32:18,500
that the kids in the education showcase

818
00:32:15,480 --> 00:32:18,500
were doing too much work

819
00:32:20,820 --> 00:32:24,419
sorry he was saying that some of them

820
00:32:22,500 --> 00:32:27,059
were doing too much work but you're

821
00:32:24,419 --> 00:32:30,899
doing it really really well yeah

822
00:32:27,059 --> 00:32:33,600
uh up on Deck we have uh Kate but first

823
00:32:30,899 --> 00:32:35,399
Alistair Robertson with uh python for

824
00:32:33,600 --> 00:32:37,440
infrastructure as code

825
00:32:35,399 --> 00:32:39,840
hello everyone and welcome to my Ted I

826
00:32:37,440 --> 00:32:41,340
mean python talk um this is my first

827
00:32:39,840 --> 00:32:44,340
ever conference talk so thank you for

828
00:32:41,340 --> 00:32:46,380
the opportunity okay

829
00:32:44,340 --> 00:32:48,120
um I'm a devops engineer I work for a

830
00:32:46,380 --> 00:32:49,860
camera based company called xid and I

831
00:32:48,120 --> 00:32:51,360
kind of love python I'm going to talk

832
00:32:49,860 --> 00:32:52,980
about infrastructure as code why we

833
00:32:51,360 --> 00:32:54,419
picked polymy and Python and the tech

834
00:32:52,980 --> 00:32:56,880
stack we use to manage thousands of

835
00:32:54,419 --> 00:32:58,559
resources across multiple AWS accounts

836
00:32:56,880 --> 00:33:00,059
when I'm talking about infrastructure as

837
00:32:58,559 --> 00:33:01,620
code I'm talking about describing our

838
00:33:00,059 --> 00:33:03,120
environment in some way and having that

839
00:33:01,620 --> 00:33:04,679
description deployed with automation

840
00:33:03,120 --> 00:33:06,360
this is the alternative to that

841
00:33:04,679 --> 00:33:07,980
deploying by hand and documenting and

842
00:33:06,360 --> 00:33:10,140
Confluence or never documenting at all

843
00:33:07,980 --> 00:33:12,240
that some of us are familiar with in my

844
00:33:10,140 --> 00:33:14,100
world the AWS World infrastructure

845
00:33:12,240 --> 00:33:16,200
doesn't only mean servers and routers it

846
00:33:14,100 --> 00:33:18,360
includes a plethora of value-add managed

847
00:33:16,200 --> 00:33:20,159
services like Amazon guard Duty and

848
00:33:18,360 --> 00:33:22,500
security Lake anything that can manage

849
00:33:20,159 --> 00:33:23,940
with an API in general the stages for

850
00:33:22,500 --> 00:33:25,860
managing your infrastructure with code

851
00:33:23,940 --> 00:33:27,840
begin with declaring your resources in

852
00:33:25,860 --> 00:33:29,039
some way and then their dependencies on

853
00:33:27,840 --> 00:33:31,559
each other you then schedule The

854
00:33:29,039 --> 00:33:33,240
Ordering of deployment so you can deploy

855
00:33:31,559 --> 00:33:35,039
as much in parallel as possible and you

856
00:33:33,240 --> 00:33:36,659
execute finally you manage your state

857
00:33:35,039 --> 00:33:38,880
somewhere so you can make changes or

858
00:33:36,659 --> 00:33:40,799
remove infrastructure later on

859
00:33:38,880 --> 00:33:42,299
I'm sure that the majority here has

860
00:33:40,799 --> 00:33:43,799
heard of terraform but did you know that

861
00:33:42,299 --> 00:33:45,539
you can declare your resources as though

862
00:33:43,799 --> 00:33:47,399
you're instantiating classes in Python

863
00:33:45,539 --> 00:33:49,620
rather than a perhaps unfamiliar domain

864
00:33:47,399 --> 00:33:51,480
specific language and to pollumi it's a

865
00:33:49,620 --> 00:33:53,399
terrible it's a competitor to terraform

866
00:33:51,480 --> 00:33:54,960
and allows you to do just that along

867
00:33:53,399 --> 00:33:56,399
with being able to leverage many other

868
00:33:54,960 --> 00:33:58,200
fancy language features you might want

869
00:33:56,399 --> 00:34:00,899
to use other languages are also

870
00:33:58,200 --> 00:34:03,120
supported but we are at pycon and python

871
00:34:00,899 --> 00:34:04,919
is my choice anyway palumi has a great

872
00:34:03,120 --> 00:34:07,080
feature called Dynamic resources where

873
00:34:04,919 --> 00:34:09,000
if we need custom resource functionality

874
00:34:07,080 --> 00:34:10,379
you can write that in your own code but

875
00:34:09,000 --> 00:34:12,540
have it play nicely with the resource

876
00:34:10,379 --> 00:34:14,220
State model which we found unique pretty

877
00:34:12,540 --> 00:34:15,839
heavily when you hit rough edges with

878
00:34:14,220 --> 00:34:17,520
working with AWS

879
00:34:15,839 --> 00:34:18,780
why would I want to use a programming

880
00:34:17,520 --> 00:34:20,460
language to clear my infrastructure

881
00:34:18,780 --> 00:34:22,379
rather than something with more rigid

882
00:34:20,460 --> 00:34:23,580
structure I'll tell you why complexity

883
00:34:22,379 --> 00:34:24,839
with great power comes great

884
00:34:23,580 --> 00:34:26,460
responsibility and with a large

885
00:34:24,839 --> 00:34:28,919
environment comes complexity to manage

886
00:34:26,460 --> 00:34:30,300
our deployments span many AWS accounts

887
00:34:28,919 --> 00:34:31,440
each performing different roles and

888
00:34:30,300 --> 00:34:33,540
resources having cross-account

889
00:34:31,440 --> 00:34:34,980
dependencies as such a very high level

890
00:34:33,540 --> 00:34:36,659
of view of our cross about across

891
00:34:34,980 --> 00:34:38,339
account dependencies looks a bit like

892
00:34:36,659 --> 00:34:39,240
that

893
00:34:38,339 --> 00:34:41,220
um

894
00:34:39,240 --> 00:34:42,659
which as you can manage which you can as

895
00:34:41,220 --> 00:34:44,879
you can imagine is a bit of an ordeal to

896
00:34:42,659 --> 00:34:46,740
explain to new team members for the AWS

897
00:34:44,879 --> 00:34:47,940
people here these dependencies are for

898
00:34:46,740 --> 00:34:49,919
use cases like cross account log

899
00:34:47,940 --> 00:34:52,619
delivery golden Ami building and

900
00:34:49,919 --> 00:34:54,599
generating service control policies

901
00:34:52,619 --> 00:34:56,760
we didn't just pick bulimian python on

902
00:34:54,599 --> 00:34:58,260
Vibe alone we built out a test case of a

903
00:34:56,760 --> 00:35:00,960
cross account Transit Gateway attachment

904
00:34:58,260 --> 00:35:02,640
in terraform palumi ansible and a

905
00:35:00,960 --> 00:35:05,339
heretic blend of Bodo 3 and cloud

906
00:35:02,640 --> 00:35:07,440
formation so we chose the one that went

907
00:35:05,339 --> 00:35:08,580
with palumi setting this up involves a

908
00:35:07,440 --> 00:35:10,440
lot of jumping back and forth between

909
00:35:08,580 --> 00:35:11,820
accounts writing in Python was the

910
00:35:10,440 --> 00:35:13,619
nicest fit especially with the team that

911
00:35:11,820 --> 00:35:15,000
was already comfort with python and we

912
00:35:13,619 --> 00:35:16,920
moved forward with it

913
00:35:15,000 --> 00:35:18,660
and so was born project skywater the

914
00:35:16,920 --> 00:35:20,400
name project skywater is a nod to a

915
00:35:18,660 --> 00:35:22,980
weather modification program by the US

916
00:35:20,400 --> 00:35:24,359
Bureau of Reclamation in the 1970s and

917
00:35:22,980 --> 00:35:26,280
they were performing cloud seeding to

918
00:35:24,359 --> 00:35:28,079
control the weather unlike Reclamation

919
00:35:26,280 --> 00:35:30,359
though and their rain clouds we've had

920
00:35:28,079 --> 00:35:31,680
much more success with the digital cloud

921
00:35:30,359 --> 00:35:33,300
all right let's walk through the tech

922
00:35:31,680 --> 00:35:34,619
stack and talk about moving Parts first

923
00:35:33,300 --> 00:35:36,300
up we're building skywater around the

924
00:35:34,619 --> 00:35:38,040
palumi library so we need the palumi

925
00:35:36,300 --> 00:35:39,480
engine which is a golang binary taking

926
00:35:38,040 --> 00:35:41,280
care of the scheduling problems and

927
00:35:39,480 --> 00:35:42,839
deploying resources we then also have

928
00:35:41,280 --> 00:35:44,160
the polymer python Library which we use

929
00:35:42,839 --> 00:35:45,660
in our code and they have the class

930
00:35:44,160 --> 00:35:48,300
definitions that we instantiate to

931
00:35:45,660 --> 00:35:50,040
represent a resource to create in AWS of

932
00:35:48,300 --> 00:35:51,540
course it's never quite that simple the

933
00:35:50,040 --> 00:35:52,980
polymer engine doesn't actually know how

934
00:35:51,540 --> 00:35:54,720
to request resources from a cloud

935
00:35:52,980 --> 00:35:56,040
provider various terraform providers are

936
00:35:54,720 --> 00:35:57,540
wrapped to provide that implementation

937
00:35:56,040 --> 00:35:59,640
they sit underneath the bloomy engine

938
00:35:57,540 --> 00:36:01,500
and now we have our actual code base and

939
00:35:59,640 --> 00:36:02,940
my last count we're sitting at about 71

940
00:36:01,500 --> 00:36:04,859
000 lines of python not including

941
00:36:02,940 --> 00:36:06,780
various configuration files that's just

942
00:36:04,859 --> 00:36:08,400
talking pure python that's where the

943
00:36:06,780 --> 00:36:10,619
codification of the overall environment

944
00:36:08,400 --> 00:36:12,000
and the network designs exist notice the

945
00:36:10,619 --> 00:36:13,619
suspicious space between the skywater

946
00:36:12,000 --> 00:36:15,180
code base and the polymer components I

947
00:36:13,619 --> 00:36:18,300
wonder what could possibly go there it's

948
00:36:15,180 --> 00:36:19,980
more python we directly depend on I

949
00:36:18,300 --> 00:36:22,980
think it's like 30 and then indirectly

950
00:36:19,980 --> 00:36:24,540
on over 100 python libraries but

951
00:36:22,980 --> 00:36:25,920
surprised that's not all the python we

952
00:36:24,540 --> 00:36:28,380
have more python code implementing

953
00:36:25,920 --> 00:36:29,640
Dynamic resources rather than that sit

954
00:36:28,380 --> 00:36:30,839
underneath the engine rather than over

955
00:36:29,640 --> 00:36:32,520
the engine because we're they're

956
00:36:30,839 --> 00:36:34,260
performing the same job as the resource

957
00:36:32,520 --> 00:36:35,579
providers I'd like to take a quick

958
00:36:34,260 --> 00:36:37,500
moment to note that everything in that

959
00:36:35,579 --> 00:36:39,240
sandwich between the skywater code base

960
00:36:37,500 --> 00:36:40,920
and our Dynamic provider code are open

961
00:36:39,240 --> 00:36:42,720
source projects we're using they're all

962
00:36:40,920 --> 00:36:44,339
developed in the open free to use so we

963
00:36:42,720 --> 00:36:46,020
do lean quite heavily on the open source

964
00:36:44,339 --> 00:36:47,520
community and free as in speech software

965
00:36:46,020 --> 00:36:49,140
giving back in the form of hopefully

966
00:36:47,520 --> 00:36:51,720
detailed bug reports and delving into

967
00:36:49,140 --> 00:36:53,040
the code in various places at this point

968
00:36:51,720 --> 00:36:54,359
we have a nice little stack of things so

969
00:36:53,040 --> 00:36:56,700
here are some Services we're having the

970
00:36:54,359 --> 00:36:58,020
various bits work with and finally up to

971
00:36:56,700 --> 00:36:59,820
this point where has Skyward have been

972
00:36:58,020 --> 00:37:01,619
running the answer is probably my laptop

973
00:36:59,820 --> 00:37:02,760
that's not exactly great for production

974
00:37:01,619 --> 00:37:04,320
environment but as you can see there's

975
00:37:02,760 --> 00:37:06,420
lots of bits lots of bits to install or

976
00:37:04,320 --> 00:37:08,160
update independently and so Docker to

977
00:37:06,420 --> 00:37:09,839
the rescue wrap up the tool chain and

978
00:37:08,160 --> 00:37:11,640
voila works on my machine works on your

979
00:37:09,839 --> 00:37:13,020
machine works in the cloud

980
00:37:11,640 --> 00:37:16,339
thank you for listening to my stream of

981
00:37:13,020 --> 00:37:16,339
Consciousness I hope it's been useful

982
00:37:17,460 --> 00:37:21,839
I feel like no gigantic architecture

983
00:37:19,800 --> 00:37:24,119
diagram was uh is complete without

984
00:37:21,839 --> 00:37:25,980
Docker in it these days and I feel like

985
00:37:24,119 --> 00:37:28,200
this is also a fantastic reminder that

986
00:37:25,980 --> 00:37:29,940
lightning talks are a fantastic way to

987
00:37:28,200 --> 00:37:32,040
get new speakers or new people in the

988
00:37:29,940 --> 00:37:34,740
community used to presenting to an

989
00:37:32,040 --> 00:37:36,720
audience so I highly highly encourage if

990
00:37:34,740 --> 00:37:39,000
you're at all curious and has never done

991
00:37:36,720 --> 00:37:41,400
it before sign up for a lightning talk

992
00:37:39,000 --> 00:37:42,960
the Box will be open again tomorrow we

993
00:37:41,400 --> 00:37:45,599
will be running lightning talks again

994
00:37:42,960 --> 00:37:48,240
same time on Sunday yeah and this this

995
00:37:45,599 --> 00:37:51,300
was Libby like two in-person pycons ago

996
00:37:48,240 --> 00:37:53,460
oh boy and look what happened since yeah

997
00:37:51,300 --> 00:37:54,720
I don't know if that's actually a

998
00:37:53,460 --> 00:37:55,320
selling point

999
00:37:54,720 --> 00:37:57,540
um

1000
00:37:55,320 --> 00:37:58,800
cement for lightning talks tomorrow yeah

1001
00:37:57,540 --> 00:38:01,020
yeah

1002
00:37:58,800 --> 00:38:03,720
um so up next we have another person

1003
00:38:01,020 --> 00:38:05,339
who's been really busy uh organizing the

1004
00:38:03,720 --> 00:38:07,260
conference and volunteering and these

1005
00:38:05,339 --> 00:38:08,700
sorts of things and they've been so busy

1006
00:38:07,260 --> 00:38:10,020
that they haven't been able to do two of

1007
00:38:08,700 --> 00:38:11,820
their favorite things during the weekend

1008
00:38:10,020 --> 00:38:13,680
and we're just going to give them five

1009
00:38:11,820 --> 00:38:15,240
minutes to do that

1010
00:38:13,680 --> 00:38:18,240
thank you so much my two favorite things

1011
00:38:15,240 --> 00:38:19,380
so on Deck Malcolm Ramsey yes my two

1012
00:38:18,240 --> 00:38:20,700
favorite things of being anxious and

1013
00:38:19,380 --> 00:38:23,420
playing video games we're gonna play

1014
00:38:20,700 --> 00:38:23,420
Celeste

1015
00:38:24,960 --> 00:38:28,800
so I sometimes complete this level in

1016
00:38:27,359 --> 00:38:30,240
five minutes and sometimes I don't so

1017
00:38:28,800 --> 00:38:33,300
this might you might have to clap me off

1018
00:38:30,240 --> 00:38:35,579
uh and I may not leave uh

1019
00:38:33,300 --> 00:38:37,800
my name's Kate my pronouns are they or

1020
00:38:35,579 --> 00:38:41,820
she either way one works

1021
00:38:37,800 --> 00:38:46,140
um I have or wow I have the things ADHD

1022
00:38:41,820 --> 00:38:48,900
and anxiety recently I learned to do a

1023
00:38:46,140 --> 00:38:51,300
meditation that actually works for uh

1024
00:38:48,900 --> 00:38:52,980
people with ADHD which was really

1025
00:38:51,300 --> 00:38:54,720
surprising and it was that we went her

1026
00:38:52,980 --> 00:38:56,400
in a circle and we held like a fidget

1027
00:38:54,720 --> 00:38:58,440
toy or a pen in our hands and we

1028
00:38:56,400 --> 00:39:00,300
described a few things about it and it

1029
00:38:58,440 --> 00:39:02,280
really reminded me of the things that I

1030
00:39:00,300 --> 00:39:04,020
do in video calls when I'm really bored

1031
00:39:02,280 --> 00:39:06,240
and no one's looking at me

1032
00:39:04,020 --> 00:39:09,000
which as I played this level of this

1033
00:39:06,240 --> 00:39:11,460
particular video game quite fast

1034
00:39:09,000 --> 00:39:13,680
um this is Celeste it is a wonderful

1035
00:39:11,460 --> 00:39:16,760
game it's about anxiety being trans and

1036
00:39:13,680 --> 00:39:16,760
climbing a mountain

1037
00:39:20,599 --> 00:39:25,500
I've got about a thousand hours in this

1038
00:39:24,119 --> 00:39:30,140
game so you don't have to be like this

1039
00:39:25,500 --> 00:39:30,140
uh but we will anyway

1040
00:39:30,540 --> 00:39:34,500
um the things that I liked about the

1041
00:39:32,280 --> 00:39:35,940
meditation session that I was in and I'm

1042
00:39:34,500 --> 00:39:37,440
sorry that I'm not making eye contact

1043
00:39:35,940 --> 00:39:40,380
it's because I have to look at the video

1044
00:39:37,440 --> 00:39:41,400
game in order to not die

1045
00:39:40,380 --> 00:39:44,700
um

1046
00:39:41,400 --> 00:39:45,950
oh my gosh please let me out thank you

1047
00:39:44,700 --> 00:39:48,140
there's the world answers

1048
00:39:45,950 --> 00:39:50,940
[Applause]

1049
00:39:48,140 --> 00:39:53,460
immediate the things I liked about it as

1050
00:39:50,940 --> 00:39:56,099
like a reminder of the different ways

1051
00:39:53,460 --> 00:40:00,060
that we can do meditation is that this

1052
00:39:56,099 --> 00:40:02,820
is a Precision repetitive a pattern that

1053
00:40:00,060 --> 00:40:04,619
I have done repeatedly many times but I

1054
00:40:02,820 --> 00:40:06,359
have to pay attention full attention to

1055
00:40:04,619 --> 00:40:08,280
this game except when I want to give a

1056
00:40:06,359 --> 00:40:10,079
talk at the same time for some God

1057
00:40:08,280 --> 00:40:12,060
unknown reason

1058
00:40:10,079 --> 00:40:15,000
um but you have to think about it and

1059
00:40:12,060 --> 00:40:16,619
what it does is it quiets up one of the

1060
00:40:15,000 --> 00:40:17,940
tracks that's always running in the back

1061
00:40:16,619 --> 00:40:20,460
of my brain

1062
00:40:17,940 --> 00:40:22,740
and it says you can't think about that

1063
00:40:20,460 --> 00:40:24,240
right now you're playing video game I

1064
00:40:22,740 --> 00:40:26,280
always used to be playing like bait

1065
00:40:24,240 --> 00:40:27,960
games like chime when I was in high

1066
00:40:26,280 --> 00:40:30,000
school when I was on video calls or

1067
00:40:27,960 --> 00:40:32,520
track Mania if I play track Mania I

1068
00:40:30,000 --> 00:40:36,660
would be swearing a lot more

1069
00:40:32,520 --> 00:40:38,460
um so we're playing Celeste today

1070
00:40:36,660 --> 00:40:41,040
um the other things that were part of

1071
00:40:38,460 --> 00:40:43,320
that were being aware of like the

1072
00:40:41,040 --> 00:40:45,240
contents and the attributes of the thing

1073
00:40:43,320 --> 00:40:47,339
that you're looking at we were talking

1074
00:40:45,240 --> 00:40:48,180
about our pens or our fidget toys as

1075
00:40:47,339 --> 00:40:51,119
like

1076
00:40:48,180 --> 00:40:53,220
just gonna reset that as like this thing

1077
00:40:51,119 --> 00:40:55,920
is cold this thing is smooth this thing

1078
00:40:53,220 --> 00:40:57,599
is hard in this case I'm thinking I'm

1079
00:40:55,920 --> 00:40:59,520
slightly short on that jump I didn't

1080
00:40:57,599 --> 00:41:01,440
extend their jump my hair is a trans

1081
00:40:59,520 --> 00:41:02,880
color instead of the gay colors and that

1082
00:41:01,440 --> 00:41:05,160
means that I'm not gonna live for very

1083
00:41:02,880 --> 00:41:06,060
long year

1084
00:41:05,160 --> 00:41:07,619
um

1085
00:41:06,060 --> 00:41:09,359
but we're all good here this one's

1086
00:41:07,619 --> 00:41:11,160
absolutely fine I could do the really

1087
00:41:09,359 --> 00:41:13,020
fancy trick but I don't know it so I'm

1088
00:41:11,160 --> 00:41:16,520
really

1089
00:41:13,020 --> 00:41:16,520
I usually don't die there

1090
00:41:17,099 --> 00:41:22,380
oh no one second the other thing that is

1091
00:41:21,180 --> 00:41:23,820
really good when you're giving a

1092
00:41:22,380 --> 00:41:26,280
presentation about speedrunning

1093
00:41:23,820 --> 00:41:29,280
especially is that you can just take a

1094
00:41:26,280 --> 00:41:32,900
second and regather your thoughts

1095
00:41:29,280 --> 00:41:32,900
um see think gee

1096
00:41:34,440 --> 00:41:37,280
and it's okay

1097
00:41:37,740 --> 00:41:40,500
well doing something that doesn't really

1098
00:41:39,599 --> 00:41:42,300
matter

1099
00:41:40,500 --> 00:41:43,560
that's pretty good I'm not going to be

1100
00:41:42,300 --> 00:41:44,940
able to finish the map in the five

1101
00:41:43,560 --> 00:41:46,500
minutes now but that's absolutely fine

1102
00:41:44,940 --> 00:41:48,599
this is a really long screen to die on

1103
00:41:46,500 --> 00:41:50,820
some things matter them more than others

1104
00:41:48,599 --> 00:41:53,339
some things don't but taking a moment to

1105
00:41:50,820 --> 00:41:54,960
breathe to be aware of the wind as we

1106
00:41:53,339 --> 00:41:57,300
can see the wind is quite strong here so

1107
00:41:54,960 --> 00:41:59,780
we're breathing pretty fast here but now

1108
00:41:57,300 --> 00:41:59,780
it stops

1109
00:42:01,440 --> 00:42:06,119
um having backups having another idea

1110
00:42:04,320 --> 00:42:08,540
for if something goes wrong you can have

1111
00:42:06,119 --> 00:42:12,260
something else that you can do

1112
00:42:08,540 --> 00:42:18,740
and having that as the background for

1113
00:42:12,260 --> 00:42:18,740
being aware of oh geez that was close

1114
00:42:18,780 --> 00:42:25,800
last time I gave a very similar talk at

1115
00:42:21,300 --> 00:42:28,740
my work I put about three f-bombs in

1116
00:42:25,800 --> 00:42:30,420
that so I'm doing really well if anyone

1117
00:42:28,740 --> 00:42:33,619
heard me say gosh

1118
00:42:30,420 --> 00:42:33,619
that took practice

1119
00:42:34,800 --> 00:42:38,520
um the other one that I like here is

1120
00:42:36,599 --> 00:42:42,180
that it's always progress

1121
00:42:38,520 --> 00:42:43,859
um because failing in this video game is

1122
00:42:42,180 --> 00:42:45,839
such a low cost

1123
00:42:43,859 --> 00:42:47,760
stuff as we can see over here that cost

1124
00:42:45,839 --> 00:42:49,020
me about three seconds and I'm failing a

1125
00:42:47,760 --> 00:42:51,720
lot and I still look like I'm pretty

1126
00:42:49,020 --> 00:42:52,859
good at the video game right

1127
00:42:51,720 --> 00:42:54,720
um

1128
00:42:52,859 --> 00:42:57,560
the cost is pretty low and it doesn't

1129
00:42:54,720 --> 00:42:57,560
matter all that much

1130
00:42:58,560 --> 00:43:01,220
thinking

1131
00:43:01,319 --> 00:43:05,220
yeah all right now we're going up we're

1132
00:43:03,839 --> 00:43:06,660
just gonna remember to breathe as we

1133
00:43:05,220 --> 00:43:09,420
bounce up here this is actually the

1134
00:43:06,660 --> 00:43:13,280
final screen which would be very funny I

1135
00:43:09,420 --> 00:43:15,720
didn't die thank you very much everyone

1136
00:43:13,280 --> 00:43:17,520
enjoy breathing thank you thank you

1137
00:43:15,720 --> 00:43:19,910
thank you thank you thank you cut them

1138
00:43:17,520 --> 00:43:23,239
off cutter and honestly

1139
00:43:19,910 --> 00:43:23,239
[Applause]

1140
00:43:27,680 --> 00:43:33,000
honestly props for getting through it

1141
00:43:30,000 --> 00:43:34,800
and talking I couldn't do that what are

1142
00:43:33,000 --> 00:43:36,480
you doing AV people why don't you put it

1143
00:43:34,800 --> 00:43:38,819
back on

1144
00:43:36,480 --> 00:43:40,079
keep doing what you're doing how dare

1145
00:43:38,819 --> 00:43:41,460
you

1146
00:43:40,079 --> 00:43:43,440
uh

1147
00:43:41,460 --> 00:43:46,920
they're doing great all right

1148
00:43:43,440 --> 00:43:48,900
um Ella pieteria on this side

1149
00:43:46,920 --> 00:43:52,500
uh I mentioned there'd be a variety of

1150
00:43:48,900 --> 00:43:53,880
topics uh one talk or two talks which

1151
00:43:52,500 --> 00:43:57,240
are not on a variety of topics and

1152
00:43:53,880 --> 00:43:59,880
here's a second of those talks Malcolm

1153
00:43:57,240 --> 00:44:02,339
all right so I know um some of you have

1154
00:43:59,880 --> 00:44:03,839
to fly home tomorrow unfortunately

1155
00:44:02,339 --> 00:44:05,160
um and you know you want to attend as

1156
00:44:03,839 --> 00:44:08,520
much of the conference and the lightning

1157
00:44:05,160 --> 00:44:10,560
talks possible so how late can you get

1158
00:44:08,520 --> 00:44:11,760
to the airport and still actually make

1159
00:44:10,560 --> 00:44:14,640
your flight

1160
00:44:11,760 --> 00:44:17,060
so there's an easy answer which is never

1161
00:44:14,640 --> 00:44:20,220
you just stay in Adelaide

1162
00:44:17,060 --> 00:44:21,900
that's worked out pretty well for me

1163
00:44:20,220 --> 00:44:23,700
um but you know you actually have

1164
00:44:21,900 --> 00:44:25,980
responsibilities so you should probably

1165
00:44:23,700 --> 00:44:26,579
go to work tomorrow maybe

1166
00:44:25,980 --> 00:44:29,280
um

1167
00:44:26,579 --> 00:44:32,220
so step one is

1168
00:44:29,280 --> 00:44:33,540
do some research so this is finding

1169
00:44:32,220 --> 00:44:36,180
other people that have done the work so

1170
00:44:33,540 --> 00:44:37,619
you don't have to do it yourself so how

1171
00:44:36,180 --> 00:44:39,300
early do people arrive for their flight

1172
00:44:37,619 --> 00:44:40,140
most commonly it's one and a quarter

1173
00:44:39,300 --> 00:44:42,480
hours

1174
00:44:40,140 --> 00:44:44,460
this is from a study at Christmas in

1175
00:44:42,480 --> 00:44:45,839
Italy yeah it's close enough

1176
00:44:44,460 --> 00:44:48,000
um and what does it actually look like

1177
00:44:45,839 --> 00:44:51,000
something like this

1178
00:44:48,000 --> 00:44:53,220
um so a lot of you yeah most people

1179
00:44:51,000 --> 00:44:55,800
around the one hour to one and a half

1180
00:44:53,220 --> 00:44:58,500
hours and some in the Tails

1181
00:44:55,800 --> 00:45:01,619
um so step two is let's collect some

1182
00:44:58,500 --> 00:45:04,140
data um so we need to know which flights

1183
00:45:01,619 --> 00:45:07,200
are actually leaving Adelaide

1184
00:45:04,140 --> 00:45:09,060
um and there's a flight um aware API for

1185
00:45:07,200 --> 00:45:10,680
that and we can just ask well how many

1186
00:45:09,060 --> 00:45:12,359
flights leaving Adelaide gives us great

1187
00:45:10,680 --> 00:45:13,440
list awesome

1188
00:45:12,359 --> 00:45:15,660
um we also need to know how many

1189
00:45:13,440 --> 00:45:18,300
passengers are on each flight the API

1190
00:45:15,660 --> 00:45:19,980
has most of those values

1191
00:45:18,300 --> 00:45:22,500
um but unfortunately that doesn't have

1192
00:45:19,980 --> 00:45:25,020
all of them so there's some manual data

1193
00:45:22,500 --> 00:45:28,380
collection process now in this I was

1194
00:45:25,020 --> 00:45:30,240
expecting uh you know a single plane

1195
00:45:28,380 --> 00:45:34,079
they'll have you know the same number of

1196
00:45:30,240 --> 00:45:35,819
passengers no not even by Airline

1197
00:45:34,079 --> 00:45:38,119
um so sorry for all the plane nodes

1198
00:45:35,819 --> 00:45:40,560
close enough is going to do

1199
00:45:38,119 --> 00:45:42,839
and now we need to make some options

1200
00:45:40,560 --> 00:45:44,640
about all the data in the model I'm

1201
00:45:42,839 --> 00:45:46,560
sorry I'm going to ignore that we have

1202
00:45:44,640 --> 00:45:48,000
international flights that you have to

1203
00:45:46,560 --> 00:45:50,099
arrive early afford everything's a

1204
00:45:48,000 --> 00:45:51,839
domestic flight I'm also going to assume

1205
00:45:50,099 --> 00:45:53,839
that the planes aren't quite full I'm

1206
00:45:51,839 --> 00:45:57,780
going 95

1207
00:45:53,839 --> 00:46:02,220
also any check-in or pre stuff that you

1208
00:45:57,780 --> 00:46:04,079
have to do uh add that time on yourself

1209
00:46:02,220 --> 00:46:06,480
um also we want to make it through

1210
00:46:04,079 --> 00:46:09,359
security or get to security 20 minutes

1211
00:46:06,480 --> 00:46:12,000
before the flight arrive departs

1212
00:46:09,359 --> 00:46:14,880
um so we can run from security if you're

1213
00:46:12,000 --> 00:46:16,140
on a gate a long way away uh I hope you

1214
00:46:14,880 --> 00:46:19,500
can run

1215
00:46:16,140 --> 00:46:21,060
um and the target time for security is

1216
00:46:19,500 --> 00:46:23,339
15 minutes which we will get to

1217
00:46:21,060 --> 00:46:26,220
hopefully in the second part of the

1218
00:46:23,339 --> 00:46:28,380
model so to do this

1219
00:46:26,220 --> 00:46:29,880
um building a model look for every

1220
00:46:28,380 --> 00:46:32,220
person that's coming into the airport

1221
00:46:29,880 --> 00:46:33,480
pick how early from our distribution

1222
00:46:32,220 --> 00:46:35,579
they're going to arrive for their flight

1223
00:46:33,480 --> 00:46:37,140
subtract that from their flight time and

1224
00:46:35,579 --> 00:46:39,720
then count up all the people and it

1225
00:46:37,140 --> 00:46:43,079
looks something like this

1226
00:46:39,720 --> 00:46:44,819
um so something that will be uh quite I

1227
00:46:43,079 --> 00:46:47,579
guess noticeable is that about uh just

1228
00:46:44,819 --> 00:46:49,200
before four there's a very big dip

1229
00:46:47,579 --> 00:46:51,119
um that's going to be very useful for

1230
00:46:49,200 --> 00:46:53,760
those of you that have flights

1231
00:46:51,119 --> 00:46:55,200
um close to close to then

1232
00:46:53,760 --> 00:46:56,339
um but have we actually answered the

1233
00:46:55,200 --> 00:46:58,140
question

1234
00:46:56,339 --> 00:47:00,240
um we've worked out how many people are

1235
00:46:58,140 --> 00:47:02,400
arriving but not how long the queue is

1236
00:47:00,240 --> 00:47:04,800
and what the optimal time is to actually

1237
00:47:02,400 --> 00:47:07,260
join that queue so you get through the

1238
00:47:04,800 --> 00:47:09,839
uh get to the security

1239
00:47:07,260 --> 00:47:11,760
um so let's do some more research uh so

1240
00:47:09,839 --> 00:47:13,859
how many people do we actually get

1241
00:47:11,760 --> 00:47:15,900
through a security Lane per minute on

1242
00:47:13,859 --> 00:47:18,540
average it's two and a half

1243
00:47:15,900 --> 00:47:19,740
um and there's some research behind that

1244
00:47:18,540 --> 00:47:21,119
um and then we also need to know the

1245
00:47:19,740 --> 00:47:23,160
number of lanes at the Adelaide airport

1246
00:47:21,119 --> 00:47:24,900
and there's seven of them one is

1247
00:47:23,160 --> 00:47:27,540
actually hiding so I hope you can find

1248
00:47:24,900 --> 00:47:29,760
it uh

1249
00:47:27,540 --> 00:47:32,579
so we need to model the people arriving

1250
00:47:29,760 --> 00:47:34,859
at security and how they they queue

1251
00:47:32,579 --> 00:47:36,780
there so not all the lanes are going to

1252
00:47:34,859 --> 00:47:39,060
always be open because that costs money

1253
00:47:36,780 --> 00:47:40,619
so when the queue gets too long we're

1254
00:47:39,060 --> 00:47:42,420
going to add some extra lanes and when

1255
00:47:40,619 --> 00:47:44,760
there's no demand as in the queue gets

1256
00:47:42,420 --> 00:47:46,560
shot we'll take them away

1257
00:47:44,760 --> 00:47:49,500
um and there's some modely stuff around

1258
00:47:46,560 --> 00:47:51,720
that but what happens if we get a queue

1259
00:47:49,500 --> 00:47:53,819
time that looks something like this uh

1260
00:47:51,720 --> 00:47:56,280
so yeah at around that 3 30 we've got

1261
00:47:53,819 --> 00:47:58,020
our five minute cues as well as at about

1262
00:47:56,280 --> 00:48:00,980
7 pm

1263
00:47:58,020 --> 00:48:04,079
and putting that all together

1264
00:48:00,980 --> 00:48:07,079
when should you arrive if your flight's

1265
00:48:04,079 --> 00:48:09,180
on there you can join the security snake

1266
00:48:07,079 --> 00:48:10,980
at um whatever time is in the

1267
00:48:09,180 --> 00:48:13,500
appropriate row and you'll get through

1268
00:48:10,980 --> 00:48:15,540
security 20 minutes before your flight

1269
00:48:13,500 --> 00:48:18,240
for those of you that aren't on this

1270
00:48:15,540 --> 00:48:20,760
list uh there's some more on the next

1271
00:48:18,240 --> 00:48:23,400
page maybe no it didn't update

1272
00:48:20,760 --> 00:48:26,220
um but yeah that's uh when you should

1273
00:48:23,400 --> 00:48:27,440
arrive to get to your flight on time

1274
00:48:26,220 --> 00:48:30,240
thank you

1275
00:48:27,440 --> 00:48:35,220
[Applause]

1276
00:48:30,240 --> 00:48:38,400
hey thank you for that uh

1277
00:48:35,220 --> 00:48:40,859
okay down to two talks uh up on Deck we

1278
00:48:38,400 --> 00:48:43,740
have Katie and we've gone from one talk

1279
00:48:40,859 --> 00:48:46,319
which is about snakes to board planes to

1280
00:48:43,740 --> 00:48:49,700
Ella who's going to talk about python on

1281
00:48:46,319 --> 00:48:49,700
a scientific research ship

1282
00:48:50,400 --> 00:48:57,000
hi everyone my name's Ella I work on the

1283
00:48:53,819 --> 00:48:59,940
RV investigator which is csiro's

1284
00:48:57,000 --> 00:49:02,280
research vessel I thought I'd just give

1285
00:48:59,940 --> 00:49:04,920
you a really quick overview of what the

1286
00:49:02,280 --> 00:49:06,839
vessel actually does rather than

1287
00:49:04,920 --> 00:49:08,880
anything too technical because there's

1288
00:49:06,839 --> 00:49:11,520
some pretty cool stuff going on on there

1289
00:49:08,880 --> 00:49:14,099
uh so just a little bit about the vessel

1290
00:49:11,520 --> 00:49:15,060
to begin with it's almost 100 meters in

1291
00:49:14,099 --> 00:49:16,880
length

1292
00:49:15,060 --> 00:49:19,500
um commissioned in 2014

1293
00:49:16,880 --> 00:49:21,420
there is about 20 ship Crews so that's

1294
00:49:19,500 --> 00:49:22,740
like the master the deckhands all the

1295
00:49:21,420 --> 00:49:25,920
people actually working on the ship

1296
00:49:22,740 --> 00:49:27,599
there's 10 csiro staff so that includes

1297
00:49:25,920 --> 00:49:29,940
me on the data acquisition and

1298
00:49:27,599 --> 00:49:32,220
processing team we have geophysical

1299
00:49:29,940 --> 00:49:35,040
survey mappers we have electronics and

1300
00:49:32,220 --> 00:49:37,380
we also have hydrochemistry and we work

1301
00:49:35,040 --> 00:49:39,599
on there in 12-hour shifts covering 24

1302
00:49:37,380 --> 00:49:42,420
hours worth of range so either 2 A.M to

1303
00:49:39,599 --> 00:49:43,859
2PM or 2 P.M to 2 am

1304
00:49:42,420 --> 00:49:45,540
um and then we've got 30 science

1305
00:49:43,859 --> 00:49:48,000
participants so they apply to be on

1306
00:49:45,540 --> 00:49:50,040
there they can be from within csiro or

1307
00:49:48,000 --> 00:49:51,420
from Australian universities or any kind

1308
00:49:50,040 --> 00:49:54,060
of research that happens within

1309
00:49:51,420 --> 00:49:55,440
Australia and they apply to come on and

1310
00:49:54,060 --> 00:49:58,020
use the ship

1311
00:49:55,440 --> 00:49:59,880
uh here's just a little map of some of

1312
00:49:58,020 --> 00:50:01,619
the places we go we do go all the way

1313
00:49:59,880 --> 00:50:04,020
around Australia into the Indian and

1314
00:50:01,619 --> 00:50:06,420
Pacific Oceans and often at least once a

1315
00:50:04,020 --> 00:50:07,500
year we will go down near Antarctica to

1316
00:50:06,420 --> 00:50:09,000
have a look at what's going on down

1317
00:50:07,500 --> 00:50:11,400
there

1318
00:50:09,000 --> 00:50:13,260
uh so this is just some broad overview

1319
00:50:11,400 --> 00:50:15,900
of the capabilities there's lots of labs

1320
00:50:13,260 --> 00:50:17,880
we can add containers on there's sonar

1321
00:50:15,900 --> 00:50:19,680
we've got drop cues we've got something

1322
00:50:17,880 --> 00:50:22,619
called DMV silent raiding which makes us

1323
00:50:19,680 --> 00:50:24,599
a really good scientific ship we can do

1324
00:50:22,619 --> 00:50:26,579
sediment coring and a few other things

1325
00:50:24,599 --> 00:50:28,859
and I'm going to show some pictures of

1326
00:50:26,579 --> 00:50:30,960
so the first one is ctd and water

1327
00:50:28,859 --> 00:50:32,579
sampling so on the way down we get

1328
00:50:30,960 --> 00:50:34,500
oceanography and on the way up we get

1329
00:50:32,579 --> 00:50:36,060
water samples these are then analyzed by

1330
00:50:34,500 --> 00:50:37,920
our hydrochemists and there's just a

1331
00:50:36,060 --> 00:50:39,420
picture of the office room and what that

1332
00:50:37,920 --> 00:50:41,940
looks like it can get very full of

1333
00:50:39,420 --> 00:50:44,040
scientists when they get excited

1334
00:50:41,940 --> 00:50:45,720
uh then we have the geophysical survey

1335
00:50:44,040 --> 00:50:48,000
mapping so we have lots of Sounders on

1336
00:50:45,720 --> 00:50:49,500
board and some really cool stuff going

1337
00:50:48,000 --> 00:50:51,660
on here we've got

1338
00:50:49,500 --> 00:50:54,059
um the Cocos Islands we did some mapping

1339
00:50:51,660 --> 00:50:56,099
of those which the scientists love and

1340
00:50:54,059 --> 00:50:58,260
we also had a we have a lot of

1341
00:50:56,099 --> 00:51:00,059
shipwrecks come through that

1342
00:50:58,260 --> 00:51:02,339
um everyone seems to love the shipwrecks

1343
00:51:00,059 --> 00:51:04,680
everyone thinks they're pretty cool

1344
00:51:02,339 --> 00:51:07,980
uh lots of back deck deployments not too

1345
00:51:04,680 --> 00:51:10,920
much data for me on these ones but there

1346
00:51:07,980 --> 00:51:13,740
is data being collected we do some

1347
00:51:10,920 --> 00:51:16,800
fishing so we get biological we get

1348
00:51:13,740 --> 00:51:19,020
um coring down on the ocean floor we've

1349
00:51:16,800 --> 00:51:21,839
got weather balloons lots of good stuff

1350
00:51:19,020 --> 00:51:24,599
Argo floats long-term Moorings

1351
00:51:21,839 --> 00:51:28,319
and then we also have the atmospherics

1352
00:51:24,599 --> 00:51:30,660
so if you look up at the middle oh I'm

1353
00:51:28,319 --> 00:51:32,460
running out of time if you look up at

1354
00:51:30,660 --> 00:51:34,140
the middle one that is the met and

1355
00:51:32,460 --> 00:51:36,420
Atmospheric station and then the two

1356
00:51:34,140 --> 00:51:38,940
balls on the sides are actually our

1357
00:51:36,420 --> 00:51:41,099
satellite Communications

1358
00:51:38,940 --> 00:51:42,839
and finally one of my favorites the

1359
00:51:41,099 --> 00:51:45,119
decode toad camera so that gets put into

1360
00:51:42,839 --> 00:51:47,339
the water and we get to see a video of

1361
00:51:45,119 --> 00:51:49,920
the ocean floor

1362
00:51:47,339 --> 00:51:52,920
where does python come into this it

1363
00:51:49,920 --> 00:51:54,480
comes in in when or for me at least in

1364
00:51:52,920 --> 00:51:56,940
data acquisition so we've got that

1365
00:51:54,480 --> 00:51:58,260
system here of the ctd all those

1366
00:51:56,940 --> 00:52:00,480
different atmospherics temperature

1367
00:51:58,260 --> 00:52:03,359
sensors water sensors everything you can

1368
00:52:00,480 --> 00:52:04,740
think of and we'll put them into a

1369
00:52:03,359 --> 00:52:07,260
program an open source program called

1370
00:52:04,740 --> 00:52:08,579
openavidas which is python we're using

1371
00:52:07,260 --> 00:52:10,859
tons of really good stuff in there

1372
00:52:08,579 --> 00:52:12,839
making contributions we've got a lot of

1373
00:52:10,859 --> 00:52:14,520
research vessels around the world who

1374
00:52:12,839 --> 00:52:16,500
are using this program and I think for

1375
00:52:14,520 --> 00:52:18,599
any hobbyists that just want to collect

1376
00:52:16,500 --> 00:52:20,640
some data you can read over UDP you can

1377
00:52:18,599 --> 00:52:23,040
read over serial you can read it over

1378
00:52:20,640 --> 00:52:26,099
file it's actually a super cool program

1379
00:52:23,040 --> 00:52:30,059
we then spit that out to files to time

1380
00:52:26,099 --> 00:52:33,480
scale to um and then send that off for

1381
00:52:30,059 --> 00:52:35,880
people to use back on Shore we also have

1382
00:52:33,480 --> 00:52:38,280
I've seen some grafana coming up in

1383
00:52:35,880 --> 00:52:39,839
people's presentations we use grafana to

1384
00:52:38,280 --> 00:52:41,339
view all this data live to make

1385
00:52:39,839 --> 00:52:41,940
decisions about

1386
00:52:41,339 --> 00:52:44,040
um

1387
00:52:41,940 --> 00:52:46,800
about deployments and what we want to do

1388
00:52:44,040 --> 00:52:49,760
on them those vsats that I was showing

1389
00:52:46,800 --> 00:52:52,079
you before they can make things extra

1390
00:52:49,760 --> 00:52:54,119
interesting because we don't always have

1391
00:52:52,079 --> 00:52:56,460
the same Cloud integration that some of

1392
00:52:54,119 --> 00:52:58,200
you guys might be used to everything has

1393
00:52:56,460 --> 00:53:00,000
to be done on the ship we don't always

1394
00:52:58,200 --> 00:53:03,480
necessarily have guaranteed connection

1395
00:53:00,000 --> 00:53:05,280
back to shore but very exciting we did

1396
00:53:03,480 --> 00:53:07,500
just put on starlink and it is going

1397
00:53:05,280 --> 00:53:10,260
quite well

1398
00:53:07,500 --> 00:53:12,000
um yeah so basically lots of really

1399
00:53:10,260 --> 00:53:13,980
interesting stuff going on on the

1400
00:53:12,000 --> 00:53:16,020
investigator if you want to come and

1401
00:53:13,980 --> 00:53:18,540
have a chat to me about any of those

1402
00:53:16,020 --> 00:53:21,319
things please let me know and uh yeah

1403
00:53:18,540 --> 00:53:21,319
we're gonna leave it there

1404
00:53:22,700 --> 00:53:29,940
that is your job you delivered that so

1405
00:53:27,839 --> 00:53:32,900
casually you sound like a scientific

1406
00:53:29,940 --> 00:53:32,900
adventurer

1407
00:53:34,200 --> 00:53:39,900
okay uh up on Deck we have Daisy

1408
00:53:37,319 --> 00:53:41,160
um and I lied earlier I said there are

1409
00:53:39,900 --> 00:53:43,079
only two talks that were on the same

1410
00:53:41,160 --> 00:53:44,640
subject I found another two talks that

1411
00:53:43,079 --> 00:53:48,420
are on the same subject we have another

1412
00:53:44,640 --> 00:53:51,599
speed running presentation welcome Katie

1413
00:53:48,420 --> 00:53:54,420
sorry a presentation speedrunning

1414
00:53:51,599 --> 00:53:55,680
excellent hello the very first thing I

1415
00:53:54,420 --> 00:53:57,660
have to tell you about public speaking

1416
00:53:55,680 --> 00:53:59,640
is that you might freak out here's a

1417
00:53:57,660 --> 00:54:01,680
secret everyone freaks out even the most

1418
00:53:59,640 --> 00:54:03,839
experienced speakers freak out but

1419
00:54:01,680 --> 00:54:06,180
giving a presentation in front of people

1420
00:54:03,839 --> 00:54:07,319
is actually super intimidating but as

1421
00:54:06,180 --> 00:54:10,079
soon as you start getting going

1422
00:54:07,319 --> 00:54:11,640
everything seems easier but what if they

1423
00:54:10,079 --> 00:54:13,920
hate my talk you might think here's one

1424
00:54:11,640 --> 00:54:15,660
thing to remember people came to your

1425
00:54:13,920 --> 00:54:16,920
talk for a reason probably because it's

1426
00:54:15,660 --> 00:54:18,660
in a set of lightning talks and they

1427
00:54:16,920 --> 00:54:19,859
can't leave not to see you crash and

1428
00:54:18,660 --> 00:54:21,720
burn though but they want to learn

1429
00:54:19,859 --> 00:54:23,339
something from you people are going to

1430
00:54:21,720 --> 00:54:24,900
remember your talk for you not your

1431
00:54:23,339 --> 00:54:26,700
slides slides are a mechanism to help

1432
00:54:24,900 --> 00:54:28,500
you remember the points you want to tell

1433
00:54:26,700 --> 00:54:30,599
and your story and you get to have cool

1434
00:54:28,500 --> 00:54:32,400
pictures but I'm not a lecturer I'm not

1435
00:54:30,599 --> 00:54:33,599
teaching you are though you could be

1436
00:54:32,400 --> 00:54:35,280
teaching people one of two things

1437
00:54:33,599 --> 00:54:36,660
something they didn't already know or

1438
00:54:35,280 --> 00:54:39,000
reinforce something that they already

1439
00:54:36,660 --> 00:54:40,260
know which is super useful and now the

1440
00:54:39,000 --> 00:54:42,059
most important thing I have to tell you

1441
00:54:40,260 --> 00:54:44,339
about presenting to an audience is they

1442
00:54:42,059 --> 00:54:46,619
do not care what you did

1443
00:54:44,339 --> 00:54:48,660
you wrote a million lines of code

1444
00:54:46,619 --> 00:54:50,339
you worked out how to create widgets to

1445
00:54:48,660 --> 00:54:54,000
help synergize the fiscal prudencies of

1446
00:54:50,339 --> 00:54:55,920
Fubar Corp huh they care about why why

1447
00:54:54,000 --> 00:54:57,300
did you do the thing there's power in

1448
00:54:55,920 --> 00:54:59,040
stories but especially for technical

1449
00:54:57,300 --> 00:55:00,540
presentations tell me how you did the

1450
00:54:59,040 --> 00:55:02,160
thing let people be able to play with

1451
00:55:00,540 --> 00:55:03,660
the toys that you had so much fun with

1452
00:55:02,160 --> 00:55:05,040
and then they can learn and do that on

1453
00:55:03,660 --> 00:55:07,260
Monday at their office at their desk

1454
00:55:05,040 --> 00:55:08,760
once you have an idea now you have to

1455
00:55:07,260 --> 00:55:10,559
bring the content which probably means

1456
00:55:08,760 --> 00:55:12,420
slides you don't have to have them I

1457
00:55:10,559 --> 00:55:14,880
like them so let's talk about that here

1458
00:55:12,420 --> 00:55:16,260
are opinions some things to do on

1459
00:55:14,880 --> 00:55:18,059
average aim for about a slight a minute

1460
00:55:16,260 --> 00:55:19,200
lightning talks don't count pick one

1461
00:55:18,059 --> 00:55:21,359
thing do you want people to remember

1462
00:55:19,200 --> 00:55:23,099
after your talk do not assume any

1463
00:55:21,359 --> 00:55:25,319
technical or prior knowledge level of

1464
00:55:23,099 --> 00:55:26,940
your audience fit your audience a work

1465
00:55:25,319 --> 00:55:28,319
presentation will feel different to a

1466
00:55:26,940 --> 00:55:30,540
meet-up or a conference but it might use

1467
00:55:28,319 --> 00:55:32,700
the same deck you are allowed to do that

1468
00:55:30,540 --> 00:55:36,000
fun fact I've presented this deck

1469
00:55:32,700 --> 00:55:37,500
exactly as is at all three use images to

1470
00:55:36,000 --> 00:55:39,540
help people visualize what you're saying

1471
00:55:37,500 --> 00:55:41,040
where appropriate do the actual demo if

1472
00:55:39,540 --> 00:55:42,300
you have one if you're going to put

1473
00:55:41,040 --> 00:55:44,280
words on the screen make sure they are

1474
00:55:42,300 --> 00:55:45,900
legible use speaker notes to help you

1475
00:55:44,280 --> 00:55:47,520
remember what you say practice your talk

1476
00:55:45,900 --> 00:55:49,559
you've got to practice I know it sucks

1477
00:55:47,520 --> 00:55:51,420
you also need to time your talk and

1478
00:55:49,559 --> 00:55:53,040
you've got to practice I know it sucks

1479
00:55:51,420 --> 00:55:55,920
but you don't have to be speaking the

1480
00:55:53,040 --> 00:55:58,500
entire time take a drink of water

1481
00:55:55,920 --> 00:56:00,599
don't do don't do walls of flare text on

1482
00:55:58,500 --> 00:56:02,640
slide it is really distracting if you

1483
00:56:00,599 --> 00:56:04,200
have a demo do not fake it do not use

1484
00:56:02,640 --> 00:56:06,000
memes they distract people from your

1485
00:56:04,200 --> 00:56:07,980
content cat pictures are only okay if

1486
00:56:06,000 --> 00:56:09,599
they are part of your demo do not read

1487
00:56:07,980 --> 00:56:11,940
your slides out loud that's what blog

1488
00:56:09,599 --> 00:56:13,800
posts are for you are on stage perform

1489
00:56:11,940 --> 00:56:15,300
but there's such thing as over doing it

1490
00:56:13,800 --> 00:56:16,980
if you're co-presenting don't try to

1491
00:56:15,300 --> 00:56:19,140
fake banter with your presenter it's

1492
00:56:16,980 --> 00:56:20,880
really weird if you've been practicing

1493
00:56:19,140 --> 00:56:21,960
you don't have to you know when you're

1494
00:56:20,880 --> 00:56:23,900
supposed to talk

1495
00:56:21,960 --> 00:56:26,400
you do not have to take questions

1496
00:56:23,900 --> 00:56:27,900
answering questions on the Fly is a

1497
00:56:26,400 --> 00:56:30,240
completely different skill to giving a

1498
00:56:27,900 --> 00:56:31,740
presentation you are absolutely more

1499
00:56:30,240 --> 00:56:33,720
than welcome to say I'll answer that in

1500
00:56:31,740 --> 00:56:36,420
the hallway later thank you do not use

1501
00:56:33,720 --> 00:56:37,559
tlas a three-letter acronyms the one

1502
00:56:36,420 --> 00:56:39,119
thing you can end up teaching your

1503
00:56:37,559 --> 00:56:41,700
audience is how to use your three-letter

1504
00:56:39,119 --> 00:56:43,859
acronym in a sentence but Katie I hear

1505
00:56:41,700 --> 00:56:46,140
lament it's just you hard I have so much

1506
00:56:43,859 --> 00:56:47,579
to do well yeah 15 minute presentation

1507
00:56:46,140 --> 00:56:50,280
is not going to be written in 15 minutes

1508
00:56:47,579 --> 00:56:51,900
more like 15 hours you have to set aside

1509
00:56:50,280 --> 00:56:54,059
time to prepare and practice your talk

1510
00:56:51,900 --> 00:56:57,059
and this all takes time but Katie what

1511
00:56:54,059 --> 00:56:59,400
if my presentation is boring people have

1512
00:56:57,059 --> 00:57:01,440
chosen to attend your talk to hear what

1513
00:56:59,400 --> 00:57:03,960
you have to say but you are never going

1514
00:57:01,440 --> 00:57:05,760
to enrapture 100 of your audience find

1515
00:57:03,960 --> 00:57:08,160
the people who are engaging with you and

1516
00:57:05,760 --> 00:57:09,900
talk to them but Katie I don't know what

1517
00:57:08,160 --> 00:57:12,359
to say well here's my easy eight-step

1518
00:57:09,900 --> 00:57:14,579
plan pick your main point write a rough

1519
00:57:12,359 --> 00:57:17,220
outline write a script cut that script

1520
00:57:14,579 --> 00:57:19,200
up in slides add some visuals read it

1521
00:57:17,220 --> 00:57:21,900
out loud to someone else if possible

1522
00:57:19,200 --> 00:57:23,880
plushies count and time it with

1523
00:57:21,900 --> 00:57:25,500
presentations you are giving focused

1524
00:57:23,880 --> 00:57:27,599
technical content within a fixed time

1525
00:57:25,500 --> 00:57:29,040
with accompanying visuals practice to

1526
00:57:27,599 --> 00:57:31,200
ensure you finish within the time

1527
00:57:29,040 --> 00:57:34,500
allowed to respect your audience and

1528
00:57:31,200 --> 00:57:36,480
practice it again thanks but one more

1529
00:57:34,500 --> 00:57:39,599
thing you are not Steve Jobs and neither

1530
00:57:36,480 --> 00:57:41,880
am I there is no one more thing you do

1531
00:57:39,599 --> 00:57:44,220
not have to have a gimmick to make

1532
00:57:41,880 --> 00:57:46,319
people want to pay attention to you your

1533
00:57:44,220 --> 00:57:47,940
audience wants you to succeed they want

1534
00:57:46,319 --> 00:57:49,859
to learn from you they are your allies

1535
00:57:47,940 --> 00:57:51,720
in this and they're probably really

1536
00:57:49,859 --> 00:57:53,880
happy that it's you on stage right now

1537
00:57:51,720 --> 00:57:56,420
and not this one minute thank you

1538
00:57:53,880 --> 00:57:56,420
Christopher

1539
00:57:56,700 --> 00:58:01,500
just be you and all else will follow

1540
00:57:59,520 --> 00:58:04,040
you've got this

1541
00:58:01,500 --> 00:58:04,040
thank you

1542
00:58:05,290 --> 00:58:08,660
[Music]

1543
00:58:07,319 --> 00:58:12,000
don't

1544
00:58:08,660 --> 00:58:14,280
Libby what did you think of that talk I

1545
00:58:12,000 --> 00:58:16,980
feel very perceived particularly with

1546
00:58:14,280 --> 00:58:18,960
the line about not fainting banter what

1547
00:58:16,980 --> 00:58:21,440
do you think I think that's fascinating

1548
00:58:18,960 --> 00:58:21,440
Libby

1549
00:58:21,599 --> 00:58:26,040
profound

1550
00:58:23,220 --> 00:58:28,020
thanks Katie that is

1551
00:58:26,040 --> 00:58:30,000
that is the last of our lightning talks

1552
00:58:28,020 --> 00:58:32,540
for today everybody please thank our

1553
00:58:30,000 --> 00:58:32,540
presenters

1554
00:58:35,460 --> 00:58:41,400
also thanks to David and Evan the

1555
00:58:39,180 --> 00:58:44,960
lightning talk elves for this year

1556
00:58:41,400 --> 00:58:44,960
uh and

1557
00:58:45,440 --> 00:58:49,619
the person who we gifted a scepter to

1558
00:58:47,880 --> 00:58:51,480
several years ago now can't get rid of

1559
00:58:49,619 --> 00:58:53,420
her Libby Barry

1560
00:58:51,480 --> 00:58:55,859
asked to be thanked

1561
00:58:53,420 --> 00:58:59,599
and of course the AV people for making

1562
00:58:55,859 --> 00:58:59,599
this look seamless as they always do

1563
00:59:01,500 --> 00:59:06,119
lightning talk submissions will be open

1564
00:59:03,660 --> 00:59:08,220
at morning T tomorrow if you're inspired

1565
00:59:06,119 --> 00:59:10,319
by this and want to give a talk uh you

1566
00:59:08,220 --> 00:59:12,180
should definitely give a talk and I will

1567
00:59:10,319 --> 00:59:13,859
definitely send out the notifications on

1568
00:59:12,180 --> 00:59:16,260
time so you have an adequate time to

1569
00:59:13,859 --> 00:59:20,180
prepare your talks

1570
00:59:16,260 --> 00:59:20,180
lastly thank you to Chris

1571
00:59:21,660 --> 00:59:26,299
see you tomorrow here's Daisy

1572
00:59:24,180 --> 00:59:26,299
yeah