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Set-up instructions for Linux

Objective

Welcome to the Linux/Ubuntu setup guide for the Arewa Data Science Fellowship. This tutorial aims to equip you with the necessary tools and configurations for a productive data science environment on Linux/Ubuntu. By the end of this guide, you will have:

  • Installed and configured Python 3.8, an essential programming language for data science.
  • Set up pip, the Python package manager, for managing software packages.
  • Configured venv, a tool for creating isolated Python environments, crucial for project-specific dependencies.

So you're using Ubuntu, huh? Well, kudos to you. You just need to install a couple of packages.

Step 1: Open a terminal and check what version of Python you have by using the command below. If your version is Python 3.8.x (x = any number), you can skip to step 2, otherwise continue with steps 1.1 and 1.2

python3.8 --version

Step 1.1: Run the following commands to setup Python 3.8. Add the deadsnakes repository:

sudo add-apt-repository ppa:deadsnakes/ppa

Step 1.2: Run the following commands to install Python 3.8:

sudo apt update && sudo apt install python3.8 -y

Step 2 Run the following command to get pip and venv. pip is a python package manager - it will help you easily install python packages. venv is a software for creating virtual environments (we will come back to what this means in the next set up step):

sudo apt update && sudo apt upgrade && sudo apt install python3-pip python3.8-venv -y

And you're done! Go back to the main menu and continue with setting up Git and GitHub in step 3.