Инструменты Python. Библиотеки для анализа данных

This page summarizes the projects mentioned and recommended in the original post on /r/u_DenoiseLAB

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  • examples

    TensorFlow examples (by tensorflow)

    - tensorflow (https://www.tensorflow.org);

  • seaborn

    Statistical data visualization in Python

    - seaborn (https://seaborn.pydata.org);

  • InfluxDB

    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.

  • plotly

    The interactive graphing library for Python :sparkles: This project now includes Plotly Express!

    - plotly (https://plotly.com/python/);

  • Pandas

    Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

    - pandas (https://pandas.pydata.org);

  • NumPy

    The fundamental package for scientific computing with Python.

  • cheatsheets

    Official Matplotlib cheat sheets (by matplotlib)

  • Keras

    Deep Learning for humans

    - statsmodel (https://keras.io);

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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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