Talk Python To Me

Podcast autorstwa Michael Kennedy

Kategorie:

494 Odcinki

  1. #333: State of Data Science in 2021

    Opublikowany: 10.09.2021
  2. #332: Robust Python

    Opublikowany: 31.08.2021
  3. #331: Meet the Python Developer in Residence: Lukasz Langa

    Opublikowany: 27.08.2021
  4. #330: Apache Airflow Open-Source Workflow with Python

    Opublikowany: 20.08.2021
  5. #329: Geekout: Renewable Energy

    Opublikowany: 13.08.2021
  6. #328: Piccolo: A fast, async ORM for Python

    Opublikowany: 8.08.2021
  7. #327: Little Automation Tools in Python

    Opublikowany: 30.07.2021
  8. #326: Building Desktop Apps with wxPython

    Opublikowany: 23.07.2021
  9. #325: MicroPython + CircuitPython

    Opublikowany: 15.07.2021
  10. #324: Gatorade-powered Python APIs

    Opublikowany: 9.07.2021
  11. #323: Best practices for Docker in production

    Opublikowany: 3.07.2021
  12. #322: A path into data science

    Opublikowany: 25.06.2021
  13. #321: HTMX - Clean, Dynamic HTML Pages

    Opublikowany: 19.06.2021
  14. #320: Python in the Electrical Energy Sector

    Opublikowany: 12.06.2021
  15. #319: Typosquatting and Supply Chains Vulnerabilities

    Opublikowany: 6.06.2021
  16. #318: Measuring your ML impact with CodeCarbon

    Opublikowany: 28.05.2021
  17. #317 Python at the US Federal Election Commission

    Opublikowany: 21.05.2021
  18. #316 Flask 2.0

    Opublikowany: 14.05.2021
  19. #315 Awesome FastAPI extensions and add ons

    Opublikowany: 7.05.2021
  20. #314 Ask us about modern Python projects and tools

    Opublikowany: 30.04.2021

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Talk Python to Me is a weekly podcast hosted by developer and entrepreneur Michael Kennedy. We dive deep into the popular packages and software developers, data scientists, and incredible hobbyists doing amazing things with Python. If you're new to Python, you'll quickly learn the ins and outs of the community by hearing from the leaders. And if you've been Pythoning for years, you'll learn about your favorite packages and the hot new ones coming out of open source.

Visit the podcast's native language site