Инструменты Python. Библиотеки для анализа данных

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

  • Sonar

    Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.

  • plotly

    The interactive graphing library for Python (includes Plotly Express) :sparkles:

    - 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);

  • InfluxDB

    Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.

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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