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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.
The last bugfix release of the Python 2.4 series, which started with 2.4.0, released on 2004-11-30. Python 2.5 was released on 2006-09-19.
Nose extends the unittest library to make testing easier.
Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions.
The dateutil module provides powerful extensions to the standard datetime module, available in Python 2.3+.
NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, useful linear algebra, Fourier transform, and random number capabilities.
NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, useful linear algebra, Fourier transform, and random number capabilities.
Packaging is a Python module for dealing with Python packages. It offers an interface for working with package versions, names, and dependency information.
MMTK is a library for molecular simulations with an emphasis on biomolecules. It provides widely used methods such as Molecular Dynamics and normal mode analysis, but also basic routines for implementing new methods for simulation and analysis. The library is currently not actively maintained and works only with Python 2 and NumPy < 1.9.
The linecache module allows one to get any line from any file, while attempting to optimize internally, using a cache, the common case where many lines are read from a single file.
This Python library provides functions for converting between Julian dates and Gregorian dates.
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).
Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. Six supports every Python version since 2.5. It is contained in only one Python file, so it can be easily copied into your project.
Certifi is a Python library that contains a CA certificate bundle, which is used by the Requests library to verify HTTPS requests.
Enum34 is the new Python stdlib enum module available in Python 3.4 backported for previous versions of Python from 2.4 to 3.3.
Pyro is a Distributed Object Technology system written in Python that is designed to be easy to use. It resembles Java's Remote Method Invocation (RMI). It has less similarity to CORBA, which is a system and language independent Distributed Object Technology and has much more to offer than Pyro or RMI. Pyro 3.x is no longer maintained. New projects should use Pyro4 instead, which is the new Pyro version that is actively developed.
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.).
The SciPy library is one of the core packages that make up the SciPy stack. It provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization.
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.
This module provides a standard interface to extract, format and print stack traces of Python programs. It exactly mimics the behavior of the Python interpreter when it prints a stack trace.
Pytest-cov produces coverage reports. It supports centralised testing and distributed testing in both load and each modes. It also supports coverage of subprocesses.
Backport of funcsigs which was introduced in Python 3.3.
Nose extends the unittest library to make testing easier.
importlib_metadata is a library which provides an API for accessing an installed Python package's metadata, such as its entry points or its top-level name. This functionality intends to replace most uses of pkg_resources entry point API and metadata API. Along with importlib.resources in Python 3.7 and newer, this can eliminate the need to use the older and less efficient pkg_resources package.