Talk Python To Me

Een podcast door Michael Kennedy

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504 Afleveringen

  1. #303 Python for Astronomy with Dr. Becky

    Gepubliceerd: 12-2-2021
  2. #302 The Data Engineering Landscape in 2021

    Gepubliceerd: 4-2-2021
  3. #301 Deploying and running Django web apps in 2021

    Gepubliceerd: 28-1-2021
  4. #300 Building a data science startup (panel)

    Gepubliceerd: 22-1-2021
  5. #299 Personal search engine with datasette and dogsheep

    Gepubliceerd: 17-1-2021
  6. #298 Building ML teams and finding ML jobs

    Gepubliceerd: 11-1-2021
  7. #297 Python year in review (2020 edition)

    Gepubliceerd: 28-12-2020
  8. #296 Python in F1 racing

    Gepubliceerd: 23-12-2020
  9. #295 GIS + Python

    Gepubliceerd: 18-12-2020
  10. #294 oso authorizes Python

    Gepubliceerd: 7-12-2020
  11. #293 Learning how to learn as a developer

    Gepubliceerd: 1-12-2020
  12. #292 Pythonic identity (auth in Python ecosystem)

    Gepubliceerd: 26-11-2020
  13. #291 Operational Resilience with Pyomo

    Gepubliceerd: 22-11-2020
  14. #290 Side Hustles for Data Scientists

    Gepubliceerd: 13-11-2020
  15. #289 Discovering exoplanets with Python

    Gepubliceerd: 9-11-2020
  16. #288 10 tips to move from Excel to Python

    Gepubliceerd: 31-10-2020
  17. #287 Testing without dependencies, mocking in Python

    Gepubliceerd: 21-10-2020
  18. #286 Python and ML at NASA Jet Propulsion Laboratory (JPL)

    Gepubliceerd: 16-10-2020
  19. #285 Dask as a Platform Service with Coiled

    Gepubliceerd: 9-10-2020
  20. #284 Modern and fast APIs with FastAPI

    Gepubliceerd: 4-10-2020

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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