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Python Bytes

Python Bytes is a weekly podcast hosted by Michael Kennedy and Brian Okken. The show is a short disc

Episodes

Total: 411

Topics covered in this episode: fastapi-events Ways I Use Testing as a Data Scientist py-overload

Topics covered in this episode: A Better Pygame Mainloop awesome sqlalchemy ThreadPoolExecutor in

Topics covered in this episode: rich-cli Documentation unit tests Extras Joke See the full sho

Topics covered in this episode: (draft) PEP 679 -- Allow parentheses in assert statements Everyth

#267 Python on the beach

2022/1/21

Topics covered in this episode: Box: Python dictionaries with advanced dot notation access Readin

Topics covered in this episode: Python glossary and FAQ Any.io Vaex : a high performance Python l

Topics covered in this episode: * Survey results* Modern attrs API Yamele - A schema and validato

Topics covered in this episode: Jupyter Games Canary Tokens A reverse chronology of some Python f

Topics covered in this episode: Django 4.0 released python-minifier It’s time to stop using Pytho

Topics covered in this episode: pytest 7.0.0rc1 PandasTutor * Apache Airflow* textwrap.dedent pip

Topics covered in this episode: rClone check-wheel-contents xarray JetBrains Remote Development T

Topics covered in this episode: Using cog to update --help in a Markdown README file An oral hist

Topics covered in this episode: pypi-changes Late-bound argument defaults for Python pandas.read_

Topics covered in this episode: stale: github bot to “Close Stale Issues and PRs” jut - JUpyter n

Topics covered in this episode: Django 4.0 beta 1 released * py - The Python launcher* Model bake

Topics covered in this episode: * It’s episode 2^8 (nearly 5 years of podcasting)* Where does all

Topics covered in this episode: Wrapping C++ with Cython tbump : bump software releases Closember

Topics covered in this episode: yaml, GH Actions, and Python 3.10 Beating C and Java, Python Beco

Topics covered in this episode: awesome-htmx Python 3.10 is here !!!! Prospector (almost) All Pyt

Topics covered in this episode: * Changing themes to DIY* SQLFluff JupyterLab Desktop Requests Ca