Скачать или смотреть The PyArrow Revolution - Talk Python to Me Ep. 503

Pandas is at a the core of virtually all data science done in Python, that is virtually all data science. Since it's beginning, Pandas has been based upon numpy. But changes are afoot to update those internals and you can now optionally use PyArrow. PyArrow comes with a ton of benefits including it's columnar format which makes answering analytical questions faster, support for a range of high performance file formats, inter-machine data streaming, faster file IO and more. Reuven Lerner is here to give us the low-down on the PyArrow revolution.

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This video is the uncut, live recording of the Talk Python To Me podcast ( https://talkpython.fm ). We cover Python-focused topics every week and publish the edited and polished version in audio form. Subscribe in your podcast player of choice (100% free) at https://talkpython.fm/subscribe.

▬▬▬▬ Guests ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

Reuven Lerner

▬▬▬▬ Links and resources from the show ▬▬▬▬▬▬▬▬▬▬▬▬

Reuven: https://github.com/reuven
Apache Arrow: https://github.com/apache/arrow
Parquet: https://parquet.apache.org/
Feather format: https://arrow.apache.org/docs/python/...
Python Workout Book (45% off with code talkpython45): https://mng.bz/nZNv
Pandas Workout Book (45% off with code talkpython45): https://mng.bz/Qwvm
Pandas: https://pandas.pydata.org/
PyArrow CSV docs: https://arrow.apache.org/docs/python/...
Future string inference in Pandas: https://pandas.pydata.org/docs
Pandas NA/nullable dtypes: https://pandas.pydata.org/docs/user_g...
Pandas `.iloc` indexing: https://pandas.pydata.org/docs/refere...
DuckDB: https://duckdb.org
Pandas user guide: https://pandas.pydata.org/docs/user_g...
Pandas GitHub issues: https://github.com/pandas-dev/pandas/...

Listen this episode on Talk Python: https://talkpython.fm/episodes/show/5...
Episode transcripts: https://talkpython.fm/episodes/transc...

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