PyConline AU Talk list

  • A Beginners Guide to GPUs for Pythonistas by Marlene Mhangami
  • A capital letter, a number, a special character, an emotional journey for the character, a subplot, and a twist ending by philnash
  • A tale of Python C extensions and cross-platform wheels by Vinayak Mehta
  • Accessibility Overlays: A Cautionary Tale by Dawn E. Collett
  • AppSec on a budget by Mario Areias
  • At the Turn of the Tide – Teaching Python in Real-Time at Scale by Stephen Tierney, Alison Wong
  • CFU Playground by Alan Green
  • Cataloging the world's data for great good by Lars Yencken
  • Classifying Audio into Types using Python by Jyotika Singh
  • Collapsology: Why your biggest threat isn’t exposed RDP by errbufferoverfl
  • Composing algorithmic (notated) music with Python and Abjad by Tsz Kiu Pang
  • Conference Close by Richard Jones
  • Conference Open by Richard Jones
  • DevOops Track Closing Address by Justin Warren, Aurynn Shaw
  • DevOops Track Welcoming Address by Justin Warren
  • Doing stupid things with ASTs by Simon Carryer
  • Education Showcase by Amanda J Hogan, Nicky Ringland
  • Education Track Closing Address by Amanda J Hogan, Nicky Ringland
  • Education Track Welcoming Address by Amanda J Hogan, Nicky Ringland
  • Fair game: the ethics of telco fraud by Laura Summers
  • Football (soccer) data analysis: A pedagogic introduction by Indranil Ghosh
  • From futons to functions: the principles of good API design by Leigh Brenecki
  • Get Kookin’ With Kookaberry by Renee Noble
  • Graph Data Science by Paco Nathan
  • Hey, Python-Web-Community! What's going on? by Vibhu Agarwal
  • High performance machine learning with JAX by Mat Kelcey
  • How PyLadies Brazil became the biggest PyLadies chapter of the world by Débora Azevedo
  • Improved Decision Making with Pareto Fronts by Eyal Kazin
  • It doesn't work! by André Roberge
  • Keynote - Ee Durbin by Ee Durbin
  • Knock, knock! Who's there? by Markus Holtermann
  • Let’s get radical: digital privacy as a collective issue by Samantha Floreani
  • Lightning talks by Christopher Neugebauer, Libby Berrie
  • Making Swiss Cheese of Ticket Sales by Yaakov
  • Metrics for good, not evil by Molly Rowe
  • No, Maybe and Close Enough! Probabilistic Data Structures with Python and Redis by Simon Prickett
  • On the Use and Misuse of Decorators by Christopher Neugebauer
  • Planning for Failure using Chaos Engineering by Amit Saha
  • Python Type hints and how they can supercharge CS education. by Shrey Somaiya
  • Python VS Space Junk by Mars Buttfield-Addison
  • Python Versions and Dependencies Made Easy by Sebastian Witowski
  • Real python, made of blocks by Katie Bell
  • Science, Data, and Analytics Track Closing Address by Javier Candeira, Rachel Bunder, Genevieve Buckley, Maia Sauren, Ned Letcher
  • Science, Data, and Analytics Track Welcoming Address by Javier Candeira, Rachel Bunder, Genevieve Buckley, Maia Sauren, Ned Letcher
  • Setting up a machine translation service for Timor-Leste by Raphael Merx, Mel Mistica
  • Snakeoil Academy Track Closing Address by Chris Watt, Eliza Sorensen
  • Snakeoil Academy Track Welcoming Address by Chris Watt, Eliza Sorensen
  • Snakes all the way down, building Worlds with Python code by Sam Bishop
  • So You’re a Software Developer, Now What? Exploring Career Growth by Brianna Laugher
  • Ten Tips For Teaching Technical Topics by Tom Kunc
  • The Butterfly Effect: How a single bit changed my career by Jonathan Hall
  • Things might go wrong in a data-intensive application by Petertc Chu
  • Time Series Forecasting Techniques in Python by Gajendra Deshpande
  • Vampires in the Browser: banishing uninvited Javascript from your web app by Lilly Ryan
  • Web Security for Newcomers: how to avoid getting hacked as a software developer by Andreas Paech
  • What was your Python up to at 3am? by Garth Kidd
  • When a little web app needs to grow up... the journey from a hobby project to production by Matt Coles
  • Working with penetration testers as a developer by Liam O
  • from hat import rabbit: Hacking your way through Python's import machinery for fun and profit by Joachim Jablon