{ "info": { "author": "Christoph Wagner, Sebastian Semper, EMS group TU Ilmenau", "author_email": "christoph.wagner@tu-ilmenau.de", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Framework :: IPython", "Framework :: Jupyter", "Intended Audience :: Science/Research", "License :: OSI Approved :: Apache Software License", "Natural Language :: English", "Operating System :: MacOS :: MacOS X", "Operating System :: Microsoft :: Windows", "Operating System :: POSIX :: Linux", "Programming Language :: Python", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Topic :: Scientific/Engineering", "Topic :: Scientific/Engineering :: Mathematics", "Topic :: Software Development :: Libraries" ], "description": "# fastmat\n[![Version](https://img.shields.io/pypi/v/fastmat.svg)](https://pypi.python.org/pypi/fastmat)\n[![Status](https://img.shields.io/pypi/status/fastmat.svg)](https://pypi.python.org/pypi/fastmat)\n[![Python wheels](https://img.shields.io/pypi/wheel/fastmat.svg)](https://pypi.python.org/pypi/fastmat)\n[![Codacy Badge](https://api.codacy.com/project/badge/Grade/8af2b42d33cc4f5ba5b91566032c44ed)](https://www.codacy.com/app/ChristophWWagner/fastmat-EMS-TU-Ilmenau?utm_source=github.com&utm_medium=referral&utm_content=EMS-TU-Ilmenau/fastmat&utm_campaign=Badge_Grade)\n[![Documentation Status](https://readthedocs.org/projects/fastmat/badge/?version=latest)](http://fastmat.readthedocs.io/en/latest/?badge=latest)\n\n[![License](https://img.shields.io/pypi/l/fastmat.svg)](https://pypi.python.org/pypi/fastmat)\n[![Python versions](https://img.shields.io/pypi/pyversions/fastmat.svg)](https://pypi.python.org/pypi/fastmat)\n[![Implementation](https://img.shields.io/pypi/implementation/fastmat.svg)](https://pypi.python.org/pypi/fastmat)\n\n[![Coverage Status](https://coveralls.io/repos/github/EMS-TU-Ilmenau/fastmat/badge.svg?branch=master)](https://coveralls.io/github/EMS-TU-Ilmenau/fastmat?branch=master)\n[![GitHub issues](https://img.shields.io/github/issues/EMS-TU-Ilmenau/fastmat.svg)](https://github.com/EMS-TU-Ilmenau/fastmat/issues)\n**stable:** [![Build Status](https://www.travis-ci.org/EMS-TU-Ilmenau/fastmat.svg?branch=stable)](https://www.travis-ci.org/EMS-TU-Ilmenau/fastmat) **master:** [![Build Status](https://www.travis-ci.org/EMS-TU-Ilmenau/fastmat.svg?branch=master)](https://www.travis-ci.org/EMS-TU-Ilmenau/fastmat)\n\n## Description\nScientific computing requires handling large composed or structured matrices.\nFastmat is a framework for handling large composed or structured matrices.\nIt allows expressing and using them in a mathematically intuitive way while\nstoring and handling them internally in an efficient way. This approach allows\nhuge savings in computational time and memory requirements compared to using\ndense matrix representations.\n\n### Dependencies\n- Python >= 2.7 or >=3.4\n- Numpy >= 1.7\n- Scipy >= 1.0\n- Cython >= 0.26\n- soft dependencies:\n - matplotlib: for demos and tools that make use of plotting functions\n\n### Authors & Contact Information\n- Sebastian Semper | sebastian.semper@tu-ilmenau.de\n Technische Universit\u00e4t Ilmenau, Institute for Mathematics, EMS Group\n- Christoph Wagner | christoph.wagner@tu-ilmenau.de\n Technische Universit\u00e4t Ilmenau, Institute for Information Technology, EMS Group\n- ****\n\n## Citation / Acknowledgements\nIf you use fastmat, or parts of it, for commercial purposes you are required\nto acknowledge the use of fastmat visibly to all users of your work and put a\nreference to the project and the EMS Group at TU Ilmenau.\n\nIf you use fastmat for your scientific work you are required to mention the\nEMS Group at TU Ilmenau and cite the following publication affiliated with the\nproject:\n > C. Wagner and S. Semper, _Fast Linear Transforms in Python_,\n > arXiV:1710.09578, 2017\n >\n > -- https://arxiv.org/abs/1710.09578\n\n- ****\n\n## Installation\nfastmat currently supports Linux, Windows and Mac OS. Lately it also has been\nseen on ARM cores coming in a Xilinx ZYNQ FPGA SoC shell. We encourage you to\ngo ahead trying other platforms as the aforementioned as well and are very\nhappy if you share your experience with us, allowing us to keep the list\nupdated.\n\n### Installing with pip:\n\nfastmat is included in the Python Package Index (PyPI) and can be installed\nfrom the commandline by running one easy and straightforward command:\n `pip install fastmat`\n\nWhen installing with pip all dependencies of the package will be installed\nalong. With release 0.1.1 python wheels will be offered for many versions\ngreatly improving installation time and effort.\n\n### Manually installing from source\n- download the source distribution from our github repository:\n https://github.com/EMS-TU-Ilmenau/fastmat/archive/stable.zip\n- unpack its contents and navigate to the project root directory\n- run `pip install .` to install fastmat on your computer\n- you may also install fastmat without pip, using the offered makefile:\n * type `make install` to install fastmat on your computer\n * If you intend to install the package locally for your user type\n `make install MODE=--user` instead\n * You may add a version specifier for all `make` targets that directly or indirectly invoke Python:\n `make install PYTHON=python2`\n `make compile PYTHON=python3`\n * If you only would like to compile the package to use it from this local\n directory without installing it, type `make compile`\n * An uninstallation of a previously run `make install`is possible, provided the installation log file `setup.files` has been preserved\n Invoking `make uninstall` without a local `setup.files` causes another installation for generating the setup file log prior to uninstalling\n- **NOTE: Windows users**\n If you intent on building fastmat from source on a windows platform, make sure you have installed a c compiler environment and make interpreter. One way to accomplish this is to install these tools for Python 2.7 (you may also chose different ones, of course):\n * Intel Distribution for Python 2.7\n * Microsoft Visual C++ Compiler 9.0 for Python 2.7\n * GNU make for Windows 3.81 or newer\n * depending on your system: The relevant header files\n\n## Demos\nFeel free to have a look at the demos in the `demo/` directory of the source\ndistribution. Please make sure to have fastmat already installed when running\nthese.\n\nPlease note that the edgeDetect demo requires the Python Imaging Library (PIL)\ninstalled and the SAFT demos do compile a cython-core of a user defined matrix\nclass beforehand thus having a delaying the first time they're executed.\n\n## Documentation / HELP !\nPlease have a look at the documentation, which is included in the source\ndistribution at github or may be built locally on your machine by running\n `make doc`\n\nIf you experience any trouble please do not hesitate to contact us or to open\nan issue on our github projectpage: https://github.com/EMS-TU-Ilmenau/fastmat\n\n### FAQ\n\nPlease check out our project documentation at [readthedocs](https://fastmat.readthedocs.io/).\n\n#### Windows: Installation fails with various \"file not found\" errors\nOften, this is caused by missing header files. Unfortunately windows ships\nwithout a c-compiler and the header files necessary to compile native binary\ncode. If you use the Intel Distribution for Python this can be resolved by\ninstalling the Visual Studio Build tools with the version as recommended by\nthe version of the Intel Distribution for Python that you are using.\n\n#### Issue not resolved yet?\nPlease contact us or leave your bug report in the *issue* section. 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