What are the best Python libraries to learn for beginners?

• docarray

  32 2,768 8.6 Python

  Represent, send, store and search multimodal data

  

DocArray: Multimodal Data Library

• python-benedict

  3 1,424 8.8 Python

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

python-benedict: Dictionary manipulation library

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• examples

  143 7,763 5.3 Jupyter Notebook

  TensorFlow examples (by tensorflow)

  

TensorFlow and PyTorch: Deep learning library

• Pytorch

  341 78,205 10.0 Python

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  

TensorFlow and PyTorch: Deep learning library

• NumPy

  272 26,459 10.0 Python

  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

  36 1,432 5.5 Python

  :dart: Task-oriented embedding tuning for BERT, CLIP, etc.

  

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

• PythonDataScienceHandbook

  98 41,593 0.6 Jupyter Notebook

  Python Data Science Handbook: full text in Jupyter Notebooks

• SaaSHub

  www.saashub.com featured

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

  

Suggest a related project