The Python Podcast.__init__

Un pódcast de Tobias Macey

Categorías:

243 Episodo

  1. An Exploration Of Effective Pandas Practices With Matt Harrison

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Publicado: 25/8/2021

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The podcast about Python and the people who make it great

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