List of videos

Presented by: James Bennett Unicode can seem like a scary topic, especially since people so often talk about it as a horrendously complex thing programmers should be afraid of 😱. But while Unicode does have some complexity, it doesn’t have to be scary! So this talk will demystify it: you’ll get to wave hello 👋 to Unicode, learn what it really is, how it works, and tips for how you can ❤️ Unicode in 🐍.

Presented by: Nina Zakharenko Still debugging your code with print? Learn how to level up your ability to troubleshoot complex code situations by using the power of a fully-featured debugger in this talk aimed at all levels of programming ability. Debuggers allow you to examine your program state, watch as the values of important variables change, and even modify the content of variables on the fly. Once I gave up using print to debug, my productivity as a programmer increased, and yours can too! I’ll showcase the variety of debugger tools available - from pdb, the simplest command line debugger that’s part of the standard library, to fancy graphical debuggers available in Python IDEs. Join me as we walk through real code together using debugger tools in a hands-on way to help us diagnose problems and bugs. The skills you’ll learn in this talk will allow you to quickly use these tools in your own code bases for fun, school, or work. Slides: https://nina.to/pycon2020

Presented by: Alexandra Sunderland When anyone starts on a new team, there’s a ramp-up period where a ton of knowledge is transferred: there are new processes, names, tools, frameworks, and so many other different details to remember. Meanwhile, critical new relationships are started, and lasting impressions are formed. New team members that don’t get to follow a defined process during this time are at risk of not receiving all the information they need to be effective fast, and of not feeling valued by their team. As an engineer that loves a good repeatable process, I decided that I’d like to make onboarding engineers a task that is both effective and scalable. If you’re bringing on one new engineer or fifty to your project, having a formalized process in place ensures that they can get up to speed on your project quickly, and receive a fair start on the team. Whether you’re a manager, a lead, or a developer eager to help out, you’ll learn how to create your own exceptional onboarding process, and hear about my own onboarding failures and eventual success.

Presented by: Brian K Okken Parametrization is one of the superpowers of pytest. It allows you to cover a huge number of test cases with a single test function. This speeds up test writing and makes test maintenance easier. This talk is a medium depth dive into pytest parametrization, with techniques you can use right away. This talk will use of code examples, starting with a simple test then demonstrating 3 methods of parametrization, as well as test case identifiers and using generators. Slides, code, resources all listed at https://github.com/okken/talks/tree/master/2020/pycon_2020

Presented by: Tania Allard Docker has become a standard tool for developers around the world to deploy applications in a reproducible and robust manner. The existence of Docker and Docker compose have reduced the time needed to set up new software and implementing complex technology stacks for our applications. Now, six years after the initial release of Docker, we can say with confidence that containers and containers orchestration have become some of the defaults in the current technology stacks. There are thousands of tutorials and getting started documents for those wanting to adopt Docker for apps deployment. However, if you are a Data Scientist, a researcher or someone working on scientific computing wanting to adopt Docker, the story is quite different. There are very few tutorials (in comparison to app/web) and documents focused on Docker best practices focusing on DS and scientific computing. If you are working on DS, ML or scientific computing, this talk is for you. We’ll cover best practices when building Docker containers for data-intensive applications, from optimising your image build, to ensuring your containers are secure and efficient deployment workflows. Attendees will leave the talk feeling confident about adopting Docker across a range of DS, ML and research projects. Slides: https://drive.google.com/drive/folders/1MJzdZwrqh3nnvb8mmOMCDzt1vTVsFABN?usp=sharing

Presented by: Kim-Adeline Miguel With video game competitions (also known as eSports) being broadcast on online streams and regular TV stations, in-game video producers have to balance between making the game accessible to casual viewers, and packing enough action on screen to keep regular players interested. What they choose to show on screen also define the narratives surrounding the competing teams, building hype around them and setting implicit expectations (for example what character class is shown the most). In this talk we will walk through video analysis of professional Overwatch games to extract data, explore and validate a few hypotheses on what eSports broadcasters think viewers want to see.

Presented by: Anthony Shaw When Python completes a comparable application 2–10x slower than another language, why is it slow, and can’t we make it faster? In this talk, we’re going to explore different theories to understand what makes Python slow, what tasks it’s fast at executing, and how you can make it faster. Then, finally, we’ll explore what is coming in future versions of Python that might speed it up once and for all.

Presented by: Calvin Hendryx-Parker Workflows are super powerful tools for automating business processes online. Our everyday life is full of workflows such as requesting time off from work. Many of these are actually Finite State Machines that move from state to state via transitions. Popular CMS’ such as Plone have rich support for workflows, but now with django-fsm we can build quick, lightweight business workflows for our applications. Plus, we have full audit logging and even build visualizations of our workflow to confirm with the business owners generated from the code.

Presented by: Eric J. Ma In this talk, we will do more than just a random walk through probability. In particular, by using Python code as an anchor, we will explore what a probability distribution as an “object” is, especially in a modelling context. By the end of this talk, probability distributions, sampling (or generating data) from a probability distribution, and the basic terms of joint, conditional and marginal distributions, should be demystified for you, and you should leave with a solid working knowledge of probability to go further and deeper with Bayesian statistics beyond PyCon! App location: http://python-prob.ericmjl.com/ SciPy Stats Module: https://docs.scipy.org/doc/scipy/reference/stats.html Newsletter: https://tinyletter.com/ericmjl Patreon: https://patreon.com/ericmjl Eric's personal site: https://ericmjl.github.io/