{ "info": { "author": "Chris Granade and Chris Ferrie", "author_email": "cgranade@cgranade.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Science/Research", "License :: OSI Approved :: GNU Affero General Public License v3", "Natural Language :: English", "Operating System :: OS Independent", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: Implementation :: CPython", "Topic :: Scientific/Engineering :: Physics" ], "description": "=================\nWelcome to QInfer\n=================\n\n.. image:: https://zenodo.org/badge/doi/10.5281/zenodo.51273.svg\n :target: http://dx.doi.org/10.5281/zenodo.51273\n\n.. image:: https://img.shields.io/badge/launch-binder-E66581.svg\n :target: http://mybinder.org/repo/qinfer/qinfer-examples\n :alt: Launch Binder\n\n.. image:: https://img.shields.io/pypi/v/QInfer.svg?maxAge=2592000\n :target: https://pypi.python.org/pypi/QInfer\n\n\n.. image:: https://travis-ci.org/QInfer/python-qinfer.svg?branch=master\n :target: https://travis-ci.org/QInfer/python-qinfer\n\n.. image:: https://coveralls.io/repos/github/QInfer/python-qinfer/badge.svg?branch=master\n :target: https://coveralls.io/github/QInfer/python-qinfer?branch=master \n\n.. image:: https://codeclimate.com/github/QInfer/python-qinfer/badges/gpa.svg\n :target: https://codeclimate.com/github/QInfer/python-qinfer\n :alt: Code Climate\n\n**QInfer** is a library using Bayesian sequential Monte Carlo for quantum\nparameter estimation. Works with Python 2.7, 3.3, 3.4 and 3.5.\n\nInstalling QInfer\n=================\n\nWe recommend using **QInfer** with the\n`Anaconda distribution`_. Download and install\nAnaconda for your platform, either Python 2.7 or 3.5. We\nsuggest using Python 3.5, but **QInfer**\nworks with either.\n\nIf using Anaconda, you should go ahead now and install from their repository\nall the dependencies that we can. If you are using \"regular\"-Python then you can\nignore this step. Replace ``python=3.5`` with your version (typically\neither 2.7 or 3.5).\n\n.. code-block:: console\n\n $ conda install python=3.5 numpy scipy matplotlib scikit-learn\n\nIf you are **not** using Anaconda, but are instead using \"regular\"-Python,\nand you are on Linux, you will need the Python development package:\n\n.. code-block:: console\n\n $ sudo apt-get install python-dev\n\nWhere ``python-dev`` might be ``python3.5-dev`` depending on your package\nmanager and which version of Python you are using.\n\nThe latest release of **QInfer** can now be installed from\n``PyPI`` with ``pip``:\n\n.. code-block:: console\n\n $ pip install qinfer\n\nAlternatively, **QInfer** can be installed using ``pip`` and Git. Ensure that\nyou have Git installed. On Windows, we suggest the\n`official Git downloads `__.\nOnce Anaconda and Git are installed, simply run ``pip`` to install **QInfer**:\n\n.. code-block:: console\n\n $ pip install git+https://github.com/QInfer/python-qinfer.git\n\nLastely, **QInfer** can be installed manually by downloading from GitHub,\nthen running the provided installer:\n\n.. code-block:: console\n\n $ git clone git@github.com:QInfer/python-qinfer.git\n $ cd python-qinfer\n $ pip install -r requirements.txt\n $ python setup.py install\n\nMore Information\n================\n\nFull documentation for **QInfer** is\n`available on ReadTheDocs `_,\nor may be built locally by running the documentation\nbuild script in ``doc/``::\n\n $ cd /path/to/qinfer/doc/\n $ make html\n\nOn Windows::\n\n C:\\> cd C:\\path\\to\\qinfer\\\n C:\\path\\to\\qinfer\\> make.bat html\n\nThe generated documentation can be viewed by opening\n``doc/_build/html/index.html``.\n\n.. _Anaconda distribution: https://www.continuum.io/downloads\n.. 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