Installing Python 2 on Windows

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First, download the latest version of Python 2.7 from the official website. If you want to be sure you are installing a fully up-to-date version, click the Downloads > Windows link from the home page of the Python.org web site .

The Windows version is provided as an MSI package. To install it manually, just double-click the file. The MSI package format allows Windows administrators to automate installation with their standard tools.

By design, Python installs to a directory with the version number embedded, e.g. Python version 2.7 will install at C:\Python27\, so that you can have multiple versions of Python on the same system without conflicts. Of course, only one interpreter can be the default application for Python file types. It also does not automatically modify the PATH environment variable, so that you always have control over which copy of Python is run.

Typing the full path name for a Python interpreter each time quickly gets tedious, so add the directories for your default Python version to the PATH. Assuming that your Python installation is in C:\Python27\, add this to your PATH:

C:\Python27\;C:\Python27\Scripts\

You can do this easily by running the following in powershell:

[Environment]::SetEnvironmentVariable("Path", "$env:Path;C:\Python27\;C:\Python27\Scripts\", "User")

This is also an option during the installation process.

The second (Scripts) directory receives command files when certain packages are installed, so it is a very useful addition. You do not need to install or configure anything else to use Python. Having said that, I would strongly recommend that you install the tools and libraries described in the next section before you start building Python applications for real-world use. In particular, you should always install Setuptools, as it makes it much easier for you to use other third-party Python libraries.

Setuptools + Pip

The two most crucial third-party Python packages are setuptools and pip.

Once installed, you can download, install and uninstall any compliant Python software product with a single command. It also enables you to add this network installation capability to your own Python software with very little work.

Python 2.7.9 and later (on the python2 series), and Python 3.4 and later include pip by default.

To see if pip is installed, open a command prompt and run

$ command -v pip

To install pip, follow the official pip installation guide - this will automatically install the latest version of setuptools.

Ambientes virtuais

Um Virtual Environment (Ambiente virtual) é uma ferramenta que permite guardar as dependências de projetos diferentes em lugares separados criando um ambiente virtual Python para cada um deles. Isso resolve problemas como “O projeto X usa uma biblioteca na versão 1.x mas o projeto Y usa essa mesma biblioteca mas na versão 4.x” e mantém os seus pacotes instalados na pasta site-packages global limpa e organizada.

Por exemplo, você pode trabalhar em um projeto que usa o Django na versão 1.10 enquanto também poderá trabalhar em um outro projeto que use o Django mas na versão 1.8.

To start using this and see more information: Virtual Environments docs.


This page is a remixed version of another guide, which is available under the same license.