Talk Python To Me

En podcast av Michael Kennedy

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493 Avsnitt

  1. #332: Robust Python

    Publicerades: 2021-08-31
  2. #331: Meet the Python Developer in Residence: Lukasz Langa

    Publicerades: 2021-08-27
  3. #330: Apache Airflow Open-Source Workflow with Python

    Publicerades: 2021-08-20
  4. #329: Geekout: Renewable Energy

    Publicerades: 2021-08-13
  5. #328: Piccolo: A fast, async ORM for Python

    Publicerades: 2021-08-08
  6. #327: Little Automation Tools in Python

    Publicerades: 2021-07-30
  7. #326: Building Desktop Apps with wxPython

    Publicerades: 2021-07-23
  8. #325: MicroPython + CircuitPython

    Publicerades: 2021-07-15
  9. #324: Gatorade-powered Python APIs

    Publicerades: 2021-07-09
  10. #323: Best practices for Docker in production

    Publicerades: 2021-07-03
  11. #322: A path into data science

    Publicerades: 2021-06-25
  12. #321: HTMX - Clean, Dynamic HTML Pages

    Publicerades: 2021-06-19
  13. #320: Python in the Electrical Energy Sector

    Publicerades: 2021-06-12
  14. #319: Typosquatting and Supply Chains Vulnerabilities

    Publicerades: 2021-06-06
  15. #318: Measuring your ML impact with CodeCarbon

    Publicerades: 2021-05-28
  16. #317 Python at the US Federal Election Commission

    Publicerades: 2021-05-21
  17. #316 Flask 2.0

    Publicerades: 2021-05-14
  18. #315 Awesome FastAPI extensions and add ons

    Publicerades: 2021-05-07
  19. #314 Ask us about modern Python projects and tools

    Publicerades: 2021-04-30
  20. #313 Automate your data exchange with PyDantic

    Publicerades: 2021-04-22

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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