Installing Python 2 on Linux

The latest versions of CentOS, Red Hat Enterprise Linux (RHEL) and Ubuntu come with Python 2.7 out of the box.

To see which version of Python you have installed, open a command prompt and run

$ python2 --version

However, with the growing popularity of Python 3, some distributions, such as Fedora, don’t come with Python 2 pre-installed. You can install the python2 package with your distribution package manager:

$ sudo dnf install python2

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 and pip, 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.

You can also use virtualenvwrapper to make it easier to manage your virtual environments.

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