Python is a flexible and versatile programming language, with strengths in scripting, automation, data analysis, machine learning, and back-end development.
This tutorial will walk you through installing Python and setting up a programming environment on an Ubuntu 18.04 server. For a more detailed version of this tutorial, with better explanations of each step, please refer to How To Install Python 3 and Set Up a Programming Environment on an Ubuntu 18.04 Server.
Step 1 — Update and Upgrade
Logged into your Ubuntu 18.04 server as a sudo non-root user, first update and upgrade your system to ensure that your shipped version of Python 3 is up-to-date.
- sudo apt update
- sudo apt -y upgrade
Confirm installation if prompted to do so.
Step 2 — Check Version of Python
Check which version of Python 3 is installed by typing:
You’ll receive output similar to the following, depending on when you have updated your system.
Step 3 — Install pip
To manage software packages for Python, install pip, a tool that will install and manage libraries or modules to use in your projects.
- sudo apt install -y python3-pip
Python packages can be installed by typing:
- pip3 install package_name
package_name can refer to any Python package or library, such as Django for web development or NumPy for scientific computing. So if you would like to install NumPy, you can do so with the command
pip3 install numpy.
There are a few more packages and development tools to install to ensure that we have a robust set-up for our programming environment:
- sudo apt install build-essential libssl-dev libffi-dev python3-dev
Step 5 — Install venv
Virtual environments enable you to have an isolated space on your server for Python projects. We’ll use venv, part of the standard Python 3 library, which we can install by typing:
- sudo apt install -y python3-venv
Step 6 — Create a Virtual Environment
You can create a new environment with the
pyvenv command. Here, we’ll call our new environment
my_env, but you can call yours whatever you want.
Step 7 — Activate Virtual Environment
Activate the environment using the command below, where
my_env is the name of your programming environment.
- source my_env/bin/activate
Your command prompt will now be prefixed with the name of your environment:
Step 8 — Test Virtual Environment
Open the Python interpreter:
Note that within the Python 3 virtual environment, you can use the command
python instead of
pip instead of
You’ll know you’re in the interpreter when you receive the following output:
Python 3.6.5 (default, Apr 1 2018, 05:46:30) [GCC 7.3.0] on linux Type "help", "copyright", "credits" or "license" for more information. >>>
Now, use the
print() function to create the traditional Hello, World program:
Step 9 — Deactivate Virtual Environment
Quit the Python interpreter:
Then exit the virtual environment:
Here are links to more detailed tutorials that are related to this guide: