This is a backport of the standard library typing module to Python versions older than 3.5. Typing defines a standard notation for Python function and variable type annotations. The notation can be used for documenting code in a concise, standard format, and it has been designed to also be used by static and runtime type checkers, static analyzers, IDEs and other tools.
MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors.
mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point and collective communications of any picklable Python object as well as optimized communications of Python objects (such as NumPy arrays) that expose a buffer interface.
Pycairo is a set of Python bindings for the Cairo graphics library.
This package provides chardet, a Python module that can automatically detect a wide range of file encodings.
Certifi is a Python library that contains a CA certificate bundle, which is used by the Requests library to verify HTTPS requests.
unicode is a command-line utility that displays properties for a given unicode character, or searches unicode database for a given name.
The concurrent.futures module provides a high-level interface for asynchronously executing callables. This package backports the concurrent.futures package from Python 3.2
Python is a remarkably powerful dynamic programming language that is used in a wide variety of application domains. Some of its key distinguishing features include: clear, readable syntax; strong introspection capabilities; intuitive object orientation; natural expression of procedural code; full modularity, supporting hierarchical packages; exception-based error handling; and very high level dynamic data types.
Backport of funcsigs which was introduced in Python 3.3.
The dateutil module provides powerful extensions to the standard datetime module, available in Python 2.3+.
This Python library allows reading and writing to the Excel XLSX, XLSM, XLTX and XLTM file formats that are defined by the Office Open XML (OOXML) standard.
Coverage measures code coverage, typically during test execution. It uses the code analysis tools and tracing hooks provided in the Python standard library to determine which lines are executable, and which have been executed.
The goal of pathlib2 is to provide a backport of standard pathlib module which tracks the standard library module, so all the newest features of the standard pathlib can be used also on older Python versions.
Pathlib offers a set of classes to handle file system paths. It offers the following advantages over using string objects:
No more cumbersome use of os and os.path functions. Everything can be done easily through operators, attribute accesses, and method calls.
Embodies the semantics of different path types. For example, comparing Windows paths ignores casing.
Well-defined semantics, eliminating any inconsistencies or ambiguities (forward vs. backward slashes, etc.).
Python bindings for GLib, GObject, and GIO.
Unittest2 is a replacement for the unittest module in the Python standard library.
Pycparser is a complete parser of the C language, written in pure Python using the PLY parsing library. It parses C code into an AST and can serve as a front-end for C compilers or analysis tools.
The pyparsing module is an alternative approach to creating and executing simple grammars, vs. the traditional lex/yacc approach, or the use of regular expressions. The pyparsing module provides a library of classes that client code uses to construct the grammar directly in Python code.
Soup Sieve is a CSS selector library designed to be used with Beautiful Soup 4. It aims to provide selecting, matching, and filtering using modern CSS selectors. Soup Sieve currently provides selectors from the CSS level 1 specifications up through the latest CSS level 4 drafts and beyond (though some are not yet implemented).
Pytest-cov produces coverage reports. It supports centralised testing and distributed testing in both load and each modes. It also supports coverage of subprocesses.
Setuptools is a fully-featured, stable library designed to facilitate packaging Python projects, where packaging includes:
Python package and module definitions
distribution package metadata
test hooks
project installation
platform-specific details.
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.
Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It’s based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow.
Kiwi is an efficient C++ implementation of the Cassowary constraint solving algorithm. Kiwi has been designed from the ground up to be lightweight and fast. Kiwi ranges from 10x to 500x faster than the original Cassowary solver with typical use cases gaining a 40x improvement. Memory savings are consistently > 5x.
ScientificPython is a collection of Python modules that are useful for scientific computing. Most modules are rather general (Geometry, physical units, automatic derivatives, ...) whereas others are more domain-specific (e.g. netCDF and PDB support). The library is currently not actively maintained and works only with Python 2 and NumPy < 1.9.