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Matplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. matplotlib can be used in python scripts, the python and ipython shell, web application servers, and six graphical user interface toolkits. Matplotlib tries to make easy things easy and hard things possible. You can generate plots, histograms, power spectra, bar charts, errorcharts, scatterplots, etc, with just a few lines of code.
Data used by python-matplotlib
Fonts used by python-matplotlib
Implementation of a multi-key dictionary, i.e.: (key1[,key2, ..]) => value This dictionary has a similar interface to the standard dictionary => but is extended to support multiple keys referring to the same element.
pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.
An interface for creating both directed and non directed graphs from Python. Currently all attributes implemented in the Dot language are supported (up to Graphviz 2.16). Output can be inlined in Postscript into interactive scientific environments like TeXmacs, or output in any of the format's supported by the Graphviz tools dot, neato, twopi.
PyGraphviz is a Python interface to the Graphviz graph layout and visualization package. With PyGraphviz you can create, edit, read, write, and draw graphs using Python to access the Graphviz graph data structure and layout algorithms. PyGraphviz is independent from NetworkX but provides a similar programming interface. This package contains the version for Python 3.
python3-Bottleneck is a collection of fast NumPy array functions written in Cython.
The numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It’s the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. This is the version for Python 3.
This is just a collection of utilities for python-requests, but don’t really belong in requests proper. Python 3 version.