The Python Podcast.__init__

A podcast by Tobias Macey

Categories:

243 Episodes

  1. An Exploration Of Effective Pandas Practices With Matt Harrison

    Published: 1/15/2022
  2. Generate Your Text Files With Python Using Cog

    Published: 1/13/2022
  3. A Friendly Approach To Regression Models For Programmers

    Published: 1/2/2022
  4. Fast, Flexible, and Incremental Task Automation With doit

    Published: 12/27/2021
  5. The Technological, Business, and Sales Challenges Of Building The Ethical Ads Network

    Published: 12/20/2021
  6. Accidentally Building A Business With Python At Listen Notes

    Published: 12/12/2021
  7. Making Orbital Mechanics More Accessible With Poliastro

    Published: 11/27/2021
  8. Declarative Deep Learning From Your Laptop To Production With Ludwig and Horovod

    Published: 11/22/2021
  9. Build Better Analytics And Models With A Focus On The Data Experience

    Published: 11/22/2021
  10. Building Conversational AI to Augment Sales Teams at Structurely

    Published: 11/6/2021
  11. Build Composable And Reusable Feature Engineering Pipelines with Feature-Engine

    Published: 10/31/2021
  12. Speed Up Your Python Data Applications By Parallelizing Them With Bodo

    Published: 10/25/2021
  13. An Exploration Of Financial Exchange Risk Management Strategies

    Published: 10/16/2021
  14. Build Better Machine Learning Models By Understanding Their Decisions With SHAP

    Published: 10/9/2021
  15. Accelerating Drug Discovery Using Machine Learning With TorchDrug

    Published: 9/30/2021
  16. An Exploration Of Automated Speech Recognition

    Published: 9/26/2021
  17. Experimenting With Reinforcement Learning Using MushroomRL

    Published: 9/19/2021
  18. Doing Dask Powered Data Science In The Saturn Cloud

    Published: 9/10/2021
  19. Monitor The Health Of Your Machine Learning Products In Production With Evidently

    Published: 9/3/2021
  20. Making Automated Machine Learning More Accessible With EvalML

    Published: 8/25/2021

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The podcast about Python and the people who make it great