Overview

This introductory tutorial session aims to familiarize you with essential tools and platforms crucial for this course. You’ll engage hands-on with Anaconda, a powerful environment manager for Python, facilitating streamlined workflow. Additionally, we’ll explore Jupyter Lab, an interactive development environment tailored for data analysis and visualization tasks. Moreover, you’ll create a GitHub account to comprehend its role in collaborative projects and version control. Lastly, we’ll delve into using Git for effective version control in your assignments and projects.

Note

There seems to be a lot of material here but don’t worry, you will become familiar with all of these things once we start working in practice.

Learning goals

By the end of this tutorial, you’ll be able to:

• Successfully install Anaconda to manage Python environments and packages efficiently.

• Gain familiarity with Jupyter Lab’s interface and functionalities.

• Understand the basics of version control

• Establish your GitHub account if you don’t have it already.

• Use Git and GitHub to record changes to your files

• Use Jupyter notebooks for writing and documenting your code