In this video I give an overview of pandas 2.0 and the main changes related to the apache arrow backend.
Marc Garcia’s Article:
Timeline:
00:00 Intro
01:04 Legacy Numpy
02:49 Arrow Backend
03:44 Missing Values
04:33 Speed
05:47 Interoperability
07:42 Arrow Data Types
Check out my other videos:
Data Pipelines: Polars vs PySpark vs Pandas:
Polars for Data Science:
Speed up Pandas Dataframes:
Avoid These Pandas Mistakes:
Links to my stuff:
* Youtube: @robmulla?sub_confirmation=1
* Discord:
* Twitch:
* Twitter:
* Kaggle:
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Music: Head Candy - William Rosati
Support by RFM - NCM:
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