Python Talks

2/28/22

I’ve been watching some PyData / Python talks on YouTube, some of my favorites are below:

• Optimal on Paper, Broken in Reality- Vincent D. Warmerdam | PyData Eindhoven 2021
  • It’s important to verify that training data accurately reflects your use case
• Vincent D. Warmerdam: Untitled12.ipynb | PyData Eindhoven 2019
  • Use .pipe and decorators to avoid Untitled15_file.ipynb
• Vincent Warmerdam: How to Constrain Artificial Stupidity | PyData London 2019
  • Always be careful of unnoticed side effects of predictive models
• Raymond Hettinger - Beyond PEP 8 – Best practices for beautiful intelligible code - PyCon 2015
  • Entertaining and easy to follow live coding presentation
• Allen Downey: The Inspection Paradox is Everywhere | PyData New York 2019
  • Intriguing talk about sampling bias
• Creating correct and capable classifiers - Ian Ozsvald
  • Try out yellowbrick