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Programming/Python
- A Pure Python Expect-like module.
(package: python-pexpect-doc)
- Pexpect is a pure Python module for spawning child applications;
controlling them; and responding to expected patterns in their output.
Pexpect works like Don Libes' Expect. Pexpect allows your script to spawn
a child application and control it as if a human were typing commands.
- ahead of time compiler for Python
(package: python-pythran-doc)
- Documentation for pythran, an ahead of time compiler for a
subset of the Python language, with a focus on scientific computing.
- aiosqlite programmer's manual
(package: python-aiosqlite-doc)
-
Formats: [html] [text]
- API documentation for h5py
(package: python-h5py-doc)
- This is the reference documentation for the low-level API of the h5py
Python package.
- Beautiful Soup Documentation
(package: python-bs4-doc)
- Beautiful Soup is a Python library for pulling data out of HTML and XML files
Formats: [html] [text]
- Beautiful Soup на русском языке
(package: python-bs4-doc)
- Beautiful Soup — это библиотека Python для извлечения данных из файлов HTML и XML
Formats: [html] [text]
- Beautiful Soup 文档
(package: python-bs4-doc)
- Beautiful Soup 是一个可以从HTML或XML文件中提取数据的Python库
Formats: [html] [text]
- Bottleneck Documentation
(package: python-bottleneck-doc)
- Bottleneck is a collection of fast NumPy array functions written in
Cython.
- cairocffi documentation
(package: python-cairocffi-doc)
- cffi-based cairo bindings for Python
cairocffi is a CFFI-based drop-in replacement for Pycairo,
a set of Python bindings and object-oriented API for cairo.
Cairo is a 2D vector graphics library with support for multiple backends
including image buffers, PNG, PostScript, PDF, and SVG file output.
- caja-python documentation
(package: python-caja-common)
- This document describes the caja-python API.
- cffi Foreign Function Interface for Python calling C code
(package: python-cffi-doc)
- Convenient and reliable way of calling C code from Python.
The aim of this project is to provide a convenient and reliable way of calling
C code from Python. It keeps Python logic in Python, and minimises the C
required. It is able to work at either the C API or ABI level, unlike most
other approaches, that only support the ABI level.
Formats: [html] [text]
- Click Documentation
(package: python-click-doc)
- Manual for Click
Formats: [html] [text]
- Composable cycles documentation
(package: python-cycler-doc)
- Composable style cycles
- D-Bus Python bindings
(package: python-dbus-doc)
- API documentation for dbus-python
- Dask distributed documentation
(package: python-distributed-doc)
- Distributed computation documentation
- Dask documentation
(package: python-dask-doc)
- Distributed computation documentation
- Debian mando Manual
(package: python-mando-doc)
- This manual describes Radon
A Python tool which computes various code metrics. Supported metrics are:
raw metrics: SLOC, comment lines, blank lines, &c.
Cyclomatic Complexity (i.e. McCabe’s Complexity)
Halstead metrics (all of them)
the Maintainability Index (a Visual Studio metric)
Radon can be used either from the command line or programmatically through its API.
- Debian pytables Manual
(package: python-tables-doc)
- This document includes the PyTables user manual and the
reference guide for developers.
Formats: [html] [text] [pdf]
- Debian radon Manual
(package: python-radon-doc)
- This manual describes Radon
A Python tool which computes various code metrics. Supported metrics are:
raw metrics: SLOC, comment lines, blank lines, &c.
Cyclomatic Complexity (i.e. McCabe’s Complexity)
Halstead metrics (all of them)
the Maintainability Index (a Visual Studio metric)
Radon can be used either from the command line or programmatically through its API.
- Distributing Python Modules (v3.10)
(package: python3.10-doc)
- This document describes the Python Distribution Utilities
(``Distutils'') from the module developer's point-of-view, describing
how to use the Distutils to make Python modules and extensions easily
available to a wider audience with very little overhead for
build/release/install mechanics.
- Documentation for Python's ACME module
(package: python-acme-doc)
- These HTML documentation contain the auto-generated
documentation for the acme module in Python.
- Documentation for Python's JOSE module
(package: python-josepy-doc)
- These HTML documentation contain the auto-generated
documentation for the josepy module in Python.
- documentation of python-blosc
(package: python-blosc-doc)
- Documentation of python-llvmlite
(package: llvmlite-doc)
- LLVM Python binding for writing JIT (just-in-time) compilers
- Documentation of python3-numba
(package: numba-doc)
- Numba is a NumPy-aware optimizing compiler for Python
- Documentação Beautiful Soup
(package: python-bs4-doc)
- Beautiful Soup é uma biblioteca Python de extração de dados de arquivos HTML e XML
Formats: [html] [text]
- Extending and Embedding the Python Interpreter (v3.10)
(package: python3.10-doc)
- This document describes how to write modules in C or C++ to extend
the Python interpreter with new modules. Those modules can define
new functions but also new object types and their methods. The
document also describes how to embed the Python interpreter in
another application, for use as an extension language. Finally,
it shows how to compile and link extension modules so that they
can be loaded dynamically (at run time) into the interpreter, if
the underlying operating system supports this feature.
- future Documentation
(package: python-future-doc)
- Sphinx documentation for future
- imageio Documentation
(package: python-imageio-doc)
- This is the reference documentation for imageio.
- Installing Python Modules (v3.10)
(package: python3.10-doc)
- This document describes the Python Distribution Utilities
(``Distutils'') from the end-user's point-of-view, describing how to
extend the capabilities of a standard Python installation by building
and installing third-party Python modules and extensions.
- Jeepney documentation
(package: jeepney-doc)
- Documentation for Jeepney, a pure Python D-Bus interface
- Logilab common library API
(package: python3-logilab-common)
- Logilab common library (aka Logilab's extension to the standard library).
- Mako Documentation
(package: python-mako-doc)
- This document describes Mako - a template library written in Python.
It provides a familiar, non-XML syntax which compiles into Python modules for
maximum performance. Mako's syntax and API borrows from the best ideas of many
others, including Django templates, Cheetah, Myghty, and Genshi. Conceptually,
Mako is an embedded Python (i.e. Python Server Page) language, which refines
the familiar ideas of componentized layout and inheritance to produce one of
the most straightforward and flexible models available, while also maintaining
close ties to Python calling and scoping semantics.
- Matplotlib
(package: python-matplotlib-doc)
- 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 (ala matlab or mathematica), web application servers, and six
graphical user interface toolkits.
- NetworkX documentation
(package: python-networkx-doc)
- NetworkX is a Python-based package for the creation,
manipulation, and study of the structure, dynamics, and function of
complex networks.
The structure of a graph or network is encoded in the edges
(connections, links, ties, arcs, bonds) between nodes (vertices,
sites, actors). If unqualified, by graph we mean an undirected graph,
i.e. no multiple edges are allowed. By a network we usually mean a
graph with weights (fields, properties) on nodes and/or edges.
Formats: [html] [pdf]
- Numpy Manual
(package: python-numpy-doc)
- This guide is intended as an introductory overview of NumPy
and explains how to install and make use of the most important
features of NumPy.
These is also a reference manual which details functions, modules,
and objects included in Numpy, describing what they are and what they
do.
- PBR Documentation
(package: python-pbr-doc)
- Sphinx documentation for PBR
- PLY (Python Lex-Yacc) Manual
(package: python-ply-doc)
- This document is a manual for PLY, a Lex and Yacc
implementation for Python
- psutil documentation
(package: python-psutil-doc)
- psutil (Python system and process utilities) is a cross-platform
library for retrieving information on running processes and system utilization
(CPU, memory, disks, network) in Python. It is useful mainly for system
monitoring, profiling and limiting process resources and management of running
processes
- Pygame 1.9.6 documentation
(package: python-pygame-doc)
- API reference and examples for Pygame
- pygit2 Documentation
(package: python-pygit2-doc)
- Sphinx documentation for pygit2
- Pygments Documentation
(package: python-pygments-doc)
- This is the documentation of Pygments, a generic syntax highlighter
suitable for use in code hosting, forums, wikis or other applications that need
to prettify source code.
- Pytest Documentation
(package: python-pytest-doc)
- Documentation for the pytest testing tool.
Formats: [html] [text]
- Python APT: API reference manual
(package: python-apt-doc)
- API reference manual for Python bindings to libapt-pkg
- Python Babel documentation
(package: python-babel-doc)
- Babel Python module provides tools for internationalizing Python
applications.
- Python Library Reference (v3.10)
(package: python3.10-doc)
- This library reference manual documents Python's standard library,
as well as many optional library modules (which may or may not be
available, depending on whether the underlying platform supports
them and on the configuration choices made at compile time). It
also documents the standard types of the language and its built-in
functions and exceptions, many of which are not or incompletely
documented in the Reference Manual.
- Python Mock Documentation
(package: python-mock-doc)
- This documentation gives an introduction to Python Mock.
- Python Reference Manual (v3.10)
(package: python3.10-doc)
- This reference manual describes the syntax and "core semantics" of
the language. It is terse, but attempts to be exact and complete.
The semantics of non-essential built-in object types and of the
built-in functions and modules are described in the *Python
Library Reference*. For an informal introduction to the language,
see the *Python Tutorial*. For C or C++ programmers, two
additional manuals exist: *Extending and Embedding the Python
Interpreter* describes the high-level picture of how to write a
Python extension module, and the *Python/C API Reference Manual*
describes the interfaces available to C/C++ programmers in detail.
- Python Requests Documentation
(package: python-requests-doc)
- Requests allow you to send HTTP/1.1 requests. You can add headers,
form data, multipart files, and parameters with simple Python dictionaries,
and access the response data in the same way. It's powered by httplib and
urllib3, but it does all the hard work and crazy hacks for you.
- Python SimpleJSON Documentation
(package: python-simplejson-doc)
- Sphinx documentation for SimpleJSON
- Python Tornado Documentation
(package: python-tornado-doc)
- This documentation gives an introduction to Python Tornado.
- Python Tutorial (v3.10)
(package: python3.10-doc)
- This tutorial introduces the reader informally to the basic
concepts and features of the Python language and system. It helps
to have a Python interpreter handy for hands-on experience, but
all examples are self-contained, so the tutorial can be read
off-line as well.
- python-attr documentation
(package: python-attr-doc)
- python-fsspec Documetantion
(package: python-fsspec-doc)
- A specification that Python filesystems should adhere to
- python-gmpy2 Documentation
(package: python-gmpy2-doc)
- Interfaces GMP to Python 2 for fast, unbound-precision computations
- python-gnuplot Manual
(package: python3-gnuplot)
- A Python interface to the gnuplot plotting program.
Based on an object-oriented design that allows the user much
flexibility to set per-dataset options such as line styles, as well
as to run multiple gnuplot sessions simultaneously. Includes a
demonstration and extensive documentation strings. Now supports 3-d
plots!
- python-pycares API documentation
(package: python-pycares-doc)
- This manual documents the python3-pycares API
- Python/C API Reference Manual (v3.10)
(package: python3.10-doc)
- This manual documents the API used by C (or C++) programmers who
want to write extension modules or embed Python. It is a
companion to *Extending and Embedding the Python Interpreter*,
which describes the general principles of extension writing but
does not document the API functions in detail.
- Pythonic binding for the libxml2 and libxslt libraries
(package: python-lxml-doc)
- lxml is a Pythonic binding for the libxml2 and libxslt libraries.
It is unique in that it combines the speed and feature completeness of
these libraries with the simplicity of a native Python API, mostly
compatible but superior to the well-known ElementTree API.
- PyWavelets Documentation
(package: python-pywt-doc)
- PyWavelets implements the discrete wavelet transform (DWT) popular in
numerical harmonic analysis for numerous families of wavelets.
- SciPy Manual
(package: python-scipy-doc)
- This guide is intended as an introductory overview of SciPy
and explains how to install and make use of the most important
features of SciPy.
There is also a tutorial and an API reference manual which details
functions, modules, and objects included in SciPy, describing what
they are and what they do.
- SecretStorage module for Python
(package: python-secretstorage-doc)
- This is documentation of python-secretstorage module.
- Sip4 Reference and API Documentation
(package: python-sip-doc)
- Sip4 is a Python/C++ bindings generator
This documentation contains the html version of Sip4.
- Six: Python 2 and 3 Compatibility Library
(package: python-six-doc)
- Simple utilities for wrapping over differences between Python 2
and Python 3.
- Statsmodels documentation
(package: python-statsmodels-doc)
- Documentation for Statsmodels classes and functions for the
estimation of many different statistical models, as well as for
conducting statistical tests, and statistical data exploration. An
extensive list of result statistics are available for each estimator.
- toolz documentation
(package: python-toolz-doc)
- Documentation for the toolz Python library
- Unit Testing Extensions for Python
(package: python-nose-doc)
- Unit Testing Extensions for Python
This is the documentation for nose, an extension of the
Python unittest framework that supports simple test
collection, a simplified API for writing tests
and many useful plugins.
- Utility belt for advanced users of python-requests
(package: python-requests-toolbelt-doc)
- What's new in Python 3.10
(package: python3.10-doc)
- This documents lists new features and changes worth mentioning
in Python 3.10.
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