Lightweight, interpreted, object-oriented language with first-class functions
Data validation and settings management using python 3.6 type hinting. | The FlatBuffers serialization format for Python. |
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Python bindings to the Google search engine.

Python HTTP for Humans.

Pytest: simple powerful testing with Python.

The AWS SDK for Python.

Powerful data structures for data analysis, time series, and statistics.

NumPy is the fundamental package for array computing with Python.

Python 2 and 3 compatibility utilities.

HTTP library with thread-safe connection pooling, file post, and more.

Extensions to the standard Python datetime module.

The modular source code checker: pep8, pyflakes and co.