dherde / scipy Goto Github PK
View Code? Open in Web Editor NEWThis project forked from scipy/scipy
Scipy main repository
Home Page: http://scipy.org/
License: Other
This project forked from scipy/scipy
Scipy main repository
Home Page: http://scipy.org/
License: Other
================================================= Developing SciPy ================================================= .. Contents:: What is SciPy? -------------- SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. It includes modules for statistics, optimization, integration, linear algebra, Fourier transforms, signal and image processing, ODE solvers, and more. It is also the name of a very popular conference on scientific programming with Python. The SciPy library depends on NumPy, which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers. If you need to manipulate numbers on a computer and display or publish the results, give SciPy a try! SciPy structure --------------- SciPy aims at being a robust and efficient "super-package" of a number of modules, each of a non-trivial size and complexity. In order for "SciPy integration" to work flawlessly, all SciPy modules must follow certain rules that are described in this document. Hopefully this document will be helpful for SciPy contributors and developers as a basic reference about the structure of the SciPy package. Currently SciPy consists of the following files and directories: INSTALL.txt SciPy prerequisites, installation, testing, and troubleshooting. THANKS.txt SciPy developers and contributors. Please keep it up to date!! README.txt SciPy structure (this document). setup.py Script for building and installing SciPy. MANIFEST.in Additions to distutils-generated SciPy tar-balls. Its usage is deprecated. scipy/ Contains SciPy __init__.py and the directories of SciPy modules. SciPy modules +++++++++++++ In the following, a *SciPy module* is defined as a Python package, say xxx, that is located in the scipy/ directory. All SciPy modules should follow the following conventions: * Ideally, each SciPy module should be as self-contained as possible. That is, it should have minimal dependencies on other packages or modules. Even dependencies on other SciPy modules should be kept to a minimum. A dependency on NumPy is of course assumed. * Directory ``xxx/`` must contain + a file ``setup.py`` that defines ``configuration(parent_package='',top_path=None)`` function. See below for more details. + a file ``info.py``. See below more details. * Directory ``xxx/`` may contain + a directory ``tests/`` that contains files ``test_<name>.py`` corresponding to modules ``xxx/<name>{.py,.so,/}``. See below for more details. + a file ``MANIFEST.in`` that may contain only ``include setup.py`` line. DO NOT specify sources in MANIFEST.in, you must specify all sources in setup.py file. Otherwise released SciPy tarballs will miss these sources. + a directory ``docs/`` for documentation. For details, read: https://github.com/numpy/numpy/blob/master/doc/DISTUTILS.rst.txt Documentation ------------- The documentation site is here http://docs.scipy.org Web sites --------- The user's site is here http://www.scipy.org/ The developer's site is here http://projects.scipy.org/scipy/wiki Mailing Lists ------------- Please see the developer's list here http://projects.scipy.org/mailman/listinfo/scipy-dev Bug reports ----------- To search for bugs, please use the NIPY Bug Tracker at http://projects.scipy.org/scipy/query To report a bug, please use the NIPY Bug Tracker at http://projects.scipy.org/scipy/newticket License information ------------------- See the file "LICENSE" for information on the history of this software, terms & conditions for usage, and a DISCLAIMER OF ALL WARRANTIES.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.