The Python Podcast.__init__

Un pódcast de Tobias Macey

Categorías:

243 Episodo

  1. Growing And Supporting The Data Science Community At Anaconda

    Publicado: 19/8/2021
  2. Network Analysis At The Speed Of C With The Power Of Python Using NetworKit

    Publicado: 15/8/2021
  3. Delivering Deep Learning Powered Speech Recognition As A Service For Developers At AssemblyAI

    Publicado: 4/8/2021
  4. Taking Aim At The Legacy Of SQL With The Preql Relational Language

    Publicado: 28/7/2021
  5. Unleash The Power Of Dataframes At Any Scale With Modin

    Publicado: 22/7/2021
  6. Exploring The SpeechBrain Toolkit For Speech Processing

    Publicado: 14/7/2021
  7. Fast And Educational Exploration And Analysis Of Graph Data Structures With graph-tool

    Publicado: 7/7/2021
  8. Lightening The Load For Deep Learning With Sparse Networks Using Neural Magic

    Publicado: 30/6/2021
  9. Finding The Core Of Python For A Bright Future With Brett Cannon

    Publicado: 23/6/2021
  10. Traversing The Challenges And Promise Of Graph Machine Learning

    Publicado: 16/6/2021
  11. Keep Your Analytics Lint Free With SQLFluff

    Publicado: 9/6/2021
  12. Exploring The Patterns And Practices For Deep Learning With Andrew Ferlitsch

    Publicado: 2/6/2021
  13. Automatically Generate Your Unit Tests From Scratch With Pynguin

    Publicado: 25/5/2021
  14. Leveling Up Natural Language Processing with Transfer Learning

    Publicado: 18/5/2021
  15. Federated Learning For All With Flower

    Publicado: 11/5/2021
  16. Data Exploration and Visualization Made Effortless with Lux

    Publicado: 4/5/2021
  17. Extensible Open Source Authorization For Your Applications With Oso

    Publicado: 27/4/2021
  18. Teaching Geeks The Value And Skills Of Public Speaking

    Publicado: 20/4/2021
  19. Let The Robots Do The Work Using Robotic Process Automation with Robocorp

    Publicado: 13/4/2021
  20. Keep Your Code Clean And Maintainable Using Static Analysis With Flake8

    Publicado: 6/4/2021

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The podcast about Python and the people who make it great

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