 Okay, folks, thanks. I'm glad to be back. Okay, here we go. Think of a word. Any word. Well, not just any word. What I really want is a word that you might like to search for in papers past. Think about it now because I'm going to need a suggestion from you in a couple of minutes, okay? So now there's lots of more and more interesting cultural heritage data is becoming available for use and this opens up all sorts of exciting possibilities for for new types of research finding patterns for playing with scale for unearthing connections but Do we have the skills necessary to undertake this research? You know in discussions about the development of digital research skills We tend to flop about between a couple of extremes, you know at one end. There's the everybody should learn to code And at the other end there's the well, let's build shiny new tools so that people don't have to code But what about that big space in between? The people who want to dig deeper than the shiny interfaces to ask different types of questions But don't want to start their explorations with our programming 101 tutorial Now there are some great training opportunities out there things like the carpentries and Jonas here from the carpentries And there's a presentation in the breakout space And I also frequently still dip into the the programming historian which offers a great set of tutorials But having created and shared many examples tools workshops data sets and and code repositories over the years I still wonder How do we deliver what's needed? when it's needed When somebody realises that their research would be so much easier if they could get data out of digital NZ How can we share a live practical example of using the digital NZ API? well You know perhaps starting with something as simple as finding out how many items there are in digital NZ or good fee Or perhaps going a step further looking at the distribution of items in digital NZ over time Now you've probably guessed that this is no normal slideshow It's real live code running in a customized computing environment all from within a normal old web browser Let's have a little peek inside to see what's going on It's really the combination of two particularly clever technologies one is Jupiter and Jupiter provides the notebook interface that I'm working in enables you to combine Text live code visualizations HTML pretty much anything And the other technology is a thing called binder Now binder takes a list of software requirements and and spins up a virtual computer whenever you want it And you can just run your notebooks in that so together you have the code and you have the environment to run it in You may have heard of these tools about Jupiter in the context of of data science And they offer new possibilities for the reproducibility of research You know not just here's a link to my code and data, but Here's a link to a live running version of my code where you can poke around in my data But for those of us in the humanities, I think it offers some really exciting possibilities for shared collaborative exploration now a little while ago when I Saw the announcement about Tape Papa's collection API I spent a few hours poking around inside because you know, that's what I do on a weekend But what's different now is that I can document that poking around in a Jupiter notebook That anyone can spin up they can run it. They can copy it. They can edit it. They can extend it They can build on it. So my silly farting about can become somebody else's starting point and The thing that I really love about Jupiter Is that it blurs the boundary between tools and tutorial? You can share real examples that do useful things, but leave open that possibility of going further Let's have another little play. So All I'm doing here is hitting shift enter and that runs a code cell I'm getting some data from digital NZ from a search for possum or opossum We're finding out the titles where that appears We're looking at the years and we'll build ourselves a little visualization That's all happening live coming from digital NZ being rendered in the notebook Okay But what if you're not really interested in fair or Australians? What if you'd like to search for something else and now I need your word quick Cheese I heard was it cheese. I don't know that'll do. Okay. There's cheese Okay Guess what I? Just edited some Python code It's that easy Jupiter lets you play around and gain confidence with Getting confidence with code not by undertaking a series of boring exercises But just doing something that you're interested in that has an immediate payoff for you And as your confidence grows you can start out start to ask different questions By just modifying this simple example by editing another little bit You could you could search within a particular newspaper or you could specify a particular decade And then if you end up finding something particular interesting that you want to explore further You could do something like this. So this is another notebook I created the other night which enables you to harvest large amounts of data out of pavers past You just add in your API key add in your search query hit shift enter a few times And you end up with a nice CSV file that you can download and play with all within your browser So this year I've been spending a lot of time making and sharing notebooks in my glam workbench Which is really just a whole collection of GitHub repositories Admittedly, it's a bit of a mess at the moment as I've just been throwing lots of stuff into it and some notebooks are really just Just dumps of useful code while others do add a bit more bit more context But you know, it's okay because after all they're meant to be starting points. They're not meant to be finished products Obviously, there's a fair bit of trovey stuff in here But there's all sorts of other things as well, there's some material from the the Australian The National Archives of both Australia and New Zealand And I've also just recently shared some examples that I developed with my students of using computer vision and facial detection on on photographic collections So you just dive in here whenever you see the Try a launch binder button you click on that and it does its magic of loading up your customized computing environment Ready for these notebooks to run and then you just start hitting shift enter see what happens No software to install nothing to break Just click play and most importantly share So we can all continue to learn together. Thanks very much