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Pipenv & Virtual Environments
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=============================
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A Virtual Environment is a tool to keep the dependencies required by different
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projects in separate places, by creating virtual Python environments for them.
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It solves the "Project X depends on version 1.x but, Project Y needs 4.x"
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dilemma, and keeps your global site-packages directory clean and manageable.
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This tutorial walks you through installing and using Python packages. It will
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show you how to install and use the necessary tools and make strong
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recommendations on best practices. Keep in mind that Python is used for a great
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many different purposes, and precisely how you want to manage your dependencies
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may change based on how you decide to publish your software. The guidance
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presented here is most directly applicable to the development and deployment of
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network services (including web applications), but is also very well suited to
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managing development and testing environments for any kind of project.
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For example, you can work on a project which requires Django 1.10 while also
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maintaining a project which requires Django 1.8.
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.. Note:: This guide is written for Python 3, however, these instructions
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should work fine on Python 2.7.
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Pipenv
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------
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Make sure you've got Python & pip
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---------------------------------
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**Pipenv** is a project that aims to bring the best of all packaging worlds to the Python world. It harnesses `Pipfile <https://github.com/pypa/pipfile>`_, `pip <https://github.com/pypa/pip>`_, and `virtualenv <https://github.com/pypa/virtualenv>`_ into one single toolchain. It features very pretty terminal colors.
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Before you go any further, make sure you have Python and that it's avalable
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from your command line. You can check this by simply running:
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It automatically creates and manages a virtualenv for your projects, as well as adds/removes packages from your ``Pipfile`` as you install/uninstall packages. The ``lock`` command generates a lockfile (``Pipfile.lock``).
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.. code-block:: bash
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python --version
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Install Pipenv with pip::
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You should get some output like ``3.6.2``. If you do not have Python, please
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install the latest 3.x version from `python.org`_ or refer to the
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`Installing Python`_ section of the Hitchhiker's Guide to Python.
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$ pip install pipenv
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✨🍰✨
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.. Note:: If you're newcomer and you get an error like this:
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.. code-block:: python
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>>> python
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Traceback (most recent call last):
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File "<stdin>", line 1, in <module>
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NameError: name 'python' is not defined
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virtualenv
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It's because this command is intended to be run in a *shell* (also called
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a *terminal* or *console*). See the Python for Beginners
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`getting started tutorial`_ for an introduction to using your operating
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system's shell and interacting with Python.
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Additionally, you'll need to make sure you have :ref:`pip` available. You can
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check this by running:
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.. code-block:: bash
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pip --version
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If you installed Python from source, with an installer from `python.org`_, or
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via `Homebrew`_ you should already have pip. If you're on Linux and installed
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using your OS package manager, you may have to install pip separately, see
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:doc:`/guides/installing-using-linux-tools`.
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.. _getting started tutorial: https://opentechschool.github.io/python-beginners/en/getting_started.html#what-is-python-exactly
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.. _python.org: https://python.org
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.. _Homebrew: https://brew.sh
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.. _Installing Python: http://docs.python-guide.org/en/latest/starting/installation/
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Installing Pipenv
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-----------------
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:ref:`Pipenv` is a dependency manager for Python projects. If you're familiar
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with Node.js' `npm`_ or Ruby's `bundler`_, it is similar in spirit to those
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tools. While :ref:`pip` can install Python packages, Pipenv is recommended as
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it's a higher-level tool that simplifies dependency management for common use
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cases.
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Use ``pip`` to install Pipenv:
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.. code-block:: python
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pip install --user pipenv
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.. Note:: This does a `user installation`_ to prevent breaking any system-wide
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packages. If ``pipenv`` isn't available in your shell after installation,
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you'll need to add the `user base`_'s ``bin`` directory to your ``PATH``.
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You can find the user base by running ``python -m site`` which will print
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site information including the user base. For example, on Linux this will
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return ``USER_BASE: '~/.local'`` so you'll need to add ``~/.local/bin`` to
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your ``PATH``. On Linux and macOS you can set your ``PATH`` permanently
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by `modifying ~/.profile`_. On Windows you can set the user
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``PATH`` permanently in the `Control Panel`_.
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.. _npm: https://www.npmjs.com/
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.. _bundler: http://bundler.io/
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.. _user base: https://docs.python.org/3/library/site.html#site.USER_BASE
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.. _user installation: https://pip.pypa.io/en/stable/user_guide/#user-installs
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.. _modifying ~/.profile: https://stackoverflow.com/a/14638025
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.. _Control Panel: https://msdn.microsoft.com/en-us/library/windows/desktop/bb776899(v=vs.85).aspx
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Installing packages for your project
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------------------------------------
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Pipenv manages dependencies on a per-project basis. To install packages,
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change into your project's directory (or just an empty directory for this
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tutorial) and run:
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.. code-block:: bash
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cd myproject
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pipenv install requests
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Pipenv will install the excellent `Requests`_ library and create a ``Pipfile``
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for you in your project's directory. The :ref:`Pipfile` is used to track which
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dependencies your project needs in case you need to re-install them, such as
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when you share your project with others. You should get output similar to this
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(although the exact paths shown will vary):
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.. code-block:: text
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Creating a Pipfile for this project...
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Creating a virtualenv for this project...
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Using base prefix '/usr/local/Cellar/python3/3.6.2/Frameworks/Python.framework/Versions/3.6'
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New python executable in ~/.local/share/virtualenvs/tmp-agwWamBd/bin/python3.6
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Also creating executable in ~/.local/share/virtualenvs/tmp-agwWamBd/bin/python
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Installing setuptools, pip, wheel...done.
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Virtualenv location: ~/.local/share/virtualenvs/tmp-agwWamBd
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Installing requests...
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Collecting requests
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Using cached requests-2.18.4-py2.py3-none-any.whl
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Collecting idna<2.7,>=2.5 (from requests)
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Using cached idna-2.6-py2.py3-none-any.whl
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Collecting urllib3<1.23,>=1.21.1 (from requests)
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Using cached urllib3-1.22-py2.py3-none-any.whl
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Collecting chardet<3.1.0,>=3.0.2 (from requests)
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Using cached chardet-3.0.4-py2.py3-none-any.whl
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Collecting certifi>=2017.4.17 (from requests)
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Using cached certifi-2017.7.27.1-py2.py3-none-any.whl
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Installing collected packages: idna, urllib3, chardet, certifi, requests
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Successfully installed certifi-2017.7.27.1 chardet-3.0.4 idna-2.6 requests-2.18.4 urllib3-1.22
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Adding requests to Pipfile's [packages]...
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P.S. You have excellent taste! ✨ 🍰 ✨
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.. _Requests: https://python-requests.org
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Using installed packages
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------------------------
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Now that Requests is installed you can create a simple ``main.py`` file to
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use it:
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.. code-block:: python
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import requests
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response = requests.get('https://httpbin.org/ip')
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print('Your IP is {0}'.format(response.json['origin']))
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Then you can run this script using ``pipenv run``:
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.. code-block:: bash
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pipenv run python main.py
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You should get output similar to this:
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.. code-block:: text
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Your IP is 8.8.8.8
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Using ``pipenv run`` ensures that your installed packages are available to
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your script. It's also possible to spawn a new shell that ensures all commands
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have access to your installed packages with ``pipenv shell``.
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Next steps
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----------
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Congratulations, you now know how to install and use Python packages! ✨ 🍰 ✨
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virtualenv
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==========
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`virtualenv <http://pypi.python.org/pypi/virtualenv>`_ is a tool to create
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isolated Python environments. virtualenv creates a folder which contains all the
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necessary executables to use the packages that a Python project would need.

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