What are the best Python libraries to learn for beginners?

This page summarizes the projects mentioned and recommended in the original post on reddit.com/r/learnpython

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  • docarray

    🧬 The data structure for multimodal data · Neural Search · Vector Search · Document Store

    DocArray: Multimodal Data Library

  • python-benedict

    :blue_book: dict subclass with keylist/keypath support, built-in I/O operations (base64, csv, ini, json, pickle, plist, query-string, toml, xls, xml, yaml), s3 support and many utilities.

    python-benedict: Dictionary manipulation library

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  • examples

    TensorFlow examples (by tensorflow)

    TensorFlow and PyTorch: Deep learning library

  • Pytorch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

    TensorFlow and PyTorch: Deep learning library

  • NumPy

    The fundamental package for scientific computing with Python.

    NumPy: Scientific computing library and I know this one is the most popular especially in Data Science.

  • finetuner

    :dart: Task-oriented finetuning for better embeddings on neural search

    Actually further in applying ML, Finetuner is pretty handy for getting the last mile done which I found useful.

  • PythonDataScienceHandbook

    Python Data Science Handbook: full text in Jupyter Notebooks

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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