Accepted Talks

1. Animating Visualizations in Python

   Reshama Shaikh

1. Assessing and mitigating unfairness in AI systems

   Manojit Nandi

1. Building quality data pipelines

   Matthew Eng

1. Continuous Documentation for your code

   Anastasiia Tymoshchuk

1. Deploying a Django Virtual Event Platform Using Containers and Terraform

   Calvin Hendryx-Parker

1. Getting started with Fuzz testing

   Vinicius Gubiani Ferreira

1. Graphs for Data Science with NetworkX

   Bruno Gonçalves

1. How to build, test and publish an open source Python library

   Simon Willison

1. How we dealt with poor code analysis support in our generator, metaclasses, and code generation heavy projects

   Vladimir Losev

1. Keeping code safe and modern with semantic searches

   Dane Hillard

1. Machine Learning without a Ph.D

   Aaron Ma

1. Making Government Useable by anyone with Pandas, Python and Eland

   Jay Miller

1. On the Use and Misuse of Decorators

   Christopher Neugebauer

1. Prioritizing Pandemic Rates with Python: Connecting generalized disease modeling to optimization in a pandemic world

   Madelyn Kapfhammer

1. pyAudioProcessing: Building audio classification models in Python

   Jyotika Singh

1. Python Typing Koans

   R.Kracekumar

1. Securing Django Applications

   Gajendra Deshpande

1. Stupid Things I've Done with Python

   Mark Smith

1. The human side of Software

   Josue Balandrano Coronel

1. The Wonderful World of Data Quality Tools in Python

   Sam Bail

1. There Are Python 2 Relics in Your Code

   Miroslav Šedivý

1. Write Docs Devs Love: Ten Tricks To Level Up Your Tech Writing

   Mason Egger