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elementary_math-0.0.8


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توضیحات

Elementary Mathematics.
ویژگی مقدار
سیستم عامل -
نام فایل elementary_math-0.0.8
نام elementary_math
نسخه کتابخانه 0.0.8
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Sanhe Hu
ایمیل نویسنده husanhe@me.com
آدرس صفحه اصلی https://github.com/MacHu-GWU/
آدرس اینترنتی https://pypi.org/project/elementary_math/
مجوز MIT
.. image:: https://travis-ci.org/MacHu-GWU/elementary_math-project.svg?branch=master :target: https://travis-ci.org/MacHu-GWU/elementary_math-project?branch=master .. image:: https://codecov.io/gh/MacHu-GWU/elementary_math-project/branch/master/graph/badge.svg :target: https://codecov.io/gh/MacHu-GWU/elementary_math-project .. image:: https://img.shields.io/pypi/v/elementary_math.svg :target: https://pypi.python.org/pypi/elementary_math .. image:: https://img.shields.io/pypi/l/elementary_math.svg :target: https://pypi.python.org/pypi/elementary_math .. image:: https://img.shields.io/pypi/pyversions/elementary_math.svg :target: https://pypi.python.org/pypi/elementary_math .. image:: https://img.shields.io/badge/Star_Me_on_GitHub!--None.svg?style=social :target: https://github.com/MacHu-GWU/elementary_math-project .. contents:: Welcome to ``elementary_math`` Documentation ============================================ ``elementary_math`` is a project to demonstrate: how to setup environment and toolsets for a python library project on github, includes these **powerful components**: - virtual environment setup (one command install everything) - setup.py file (one click **install**/**uninstall**) - auto Google stylize your code - fancy sphinx document (one click **build**/**view**/**deploy**) - unittest suits with pytest - code coverage test with coverall - multi python version test with tox - integration with https://travis-ci.org/ - integration with https://codecov.io/ - auto deploy to `AWS S3 <http://docs.aws.amazon.com/AmazonS3/latest/dev/WebsiteHosting.html>`_ - publish to `PyPI <https://pypi.python.org/pypi/your-package-name>`_ Quick Links ----------- - `GitHub Homepage <https://github.com/MacHu-GWU/elementary_math-project>`_ - `Online Documentation <http://www.wbh-doc.com.s3.amazonaws.com/elementary_math/index.html>`_ - `PyPI download <https://pypi.python.org/pypi/elementary_math>`_ - `Install <install_>`_ - `Issue submit and feature request <https://github.com/MacHu-GWU/elementary_math-project/issues>`_ - `API reference and source code <http://www.wbh-doc.com.s3.amazonaws.com/elementary_math/py-modindex.html>`_ Usage ----- 1. Clone the repo. 2. Navigate to ``elementary_math-project/start-a-project``, edit ``init_project.py`` and run it. 3. A ``<repo-name>`` directory will be created, you can use this as your github repo directory. 4. Take a look at ``Makefile``, all magic happens here! AWS Command Line (Optional) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Use `AWS S3 <http://docs.aws.amazon.com/AmazonS3/latest/dev/WebsiteHosting.html>`_ to host your doc site is a good idea! We need `awscli <https://aws.amazon.com/cli/>`_ to automate the deployment. 1. Install `awscli <https://aws.amazon.com/cli/>`_, just ``pip install awscli``. 2. `Configure your API token <http://docs.aws.amazon.com/cli/latest/userguide/cli-chap-welcome.html>`_, just ``aws configure`` and follow the instruction. Config PyPI (Optional) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ If you want to publish your package to `PyPI <https://pypi.python.org/pypi>`_ or `new PyPI <https://pypi.org/>`_, you need a pypi account and `Configure your credential <https://docs.python.org/2/distutils/packageindex.html#pypirc>`_. 1. Create a ``${HOME}/.pypirc`` file. 2. put these contents:: [distutils] index-servers = pypi [pypi] username:<username> password:<password> CI (Continues Integration) (Optional) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1. `Test with travis-ci <https://docs.travis-ci.com/user/languages/python/>`_, basically you just need to: - sign in using GitHub account. - toggle on your repo. 2. `Code Coverage Test with codecov <https://github.com/codecov/example-python>`_. For Windows ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Because Windows doesn't have ``shell script`` and ``make`` command, so we have to install some third-party software to make it works. **Install Git Bash as shell emulator** 1. `Download and install git <https://git-scm.com/downloads>`_. 2. Now you can use ``C:\Program Files\Git\git-bash.exe`` like the terminal in MacOS/Linux. **Install MinGW** 1. `Download and install <http://www.mingw.org/>`_, use the installer to install ``MinGW Base``. 2. Find ``C:\MinGW\bin\mingw32-make.exe``, copy and paste and rename as ``C:\MinGW\bin\make.exe``. 3. Add ``C:\MinGW\bin`` to $PATH (environment variable). Now you can use ``make <target>`` in ``git-bash.exe`` now. For MacOS ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ You have to make sure: - `HomeBrew <https://brew.sh/>`_ is installed. There's two way of using virtualenv in MacOS: 1. Use generic `virtualenv <https://virtualenv.pypa.io/en/stable/>`_. 2. Use `pyenv <https://github.com/pyenv/pyenv>`_ + `pyenv-virtualenv <https://github.com/pyenv/pyenv-virtualenv>`_. I prefer ``pyenv`` + ``pyenv-virtualenv``, because it allows you: 1. use tox to test against multiple python version locally before using cloud CI (continues integration). 2. will not mess up your global python environment. 3. the ``Makefile`` will do the ``pyenv`` + ``pyenv-virtualenv`` setup for you, just make sure that you have `HomeBrew <https://brew.sh/>`_ installed. .. _install: Install ------- ``elementary_math`` is released on PyPI, so all you need is: .. code-block:: console $ pip install elementary_math To upgrade to latest version: .. code-block:: console $ pip install --upgrade elementary_math


نحوه نصب


نصب پکیج whl elementary_math-0.0.8:

    pip install elementary_math-0.0.8.whl


نصب پکیج tar.gz elementary_math-0.0.8:

    pip install elementary_math-0.0.8.tar.gz