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This library brings the Olson tz database into Python. It allows accurate and cross platform timezone calculations using Python 2.4 or higher. It also solves the issue of ambiguous times at the end of daylight saving time. Almost all of the Olson timezones are supported.
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.
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.
Nose extends the unittest library to make testing easier.
Nose extends the unittest library to make testing easier.
Py is a Python library for file name parsing, .ini file parsing, I/O, code introspection, and logging.
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.
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.
rpy2 is a redesign and rewrite of rpy. It is providing a low-level interface to R from Python, a proposed high-level interface, including wrappers to graphical libraries, as well as R-like structures and functions.
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.
Pytest is a testing tool that provides auto-discovery of test modules and functions, detailed info on failing assert statements, modular fixtures, and many external plugins.
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.
The dateutil module provides powerful extensions to the standard datetime module, available in Python 2.3+.
PyXLWriter is a Python library for generating Excel compatible spreadsheets. It's a port of John McNamara's Perl Spreadsheet::WriteExcel module version 1.01 to Python. It allows writing of Excel compatible spreadsheets without the need for COM objects.
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.
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.
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.
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 package is a backport of the functools module from Python 3.2.3 for use with older versions of Python and PyPy.
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).
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.
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.
Pluggy is an extraction of the plugin manager as used by Pytest but stripped of Pytest specific details.