Intro to Python
| Audience | Computational skills required | Duration |
|---|---|---|
| Biologists | None | 3 hour workshop |
Description
This workshop covers the basics of Python and Jupyter Notebooks, with a focus on using Python for analysing biological data. Python is a user-friendly and widely-supported programming language that has arguably become the language of choice for many data scientists. Jupyter Notebooks are a browser-based Python environment (although not limited to Python - can also run R, Julia, C++, etc) that can contain code, notes, visualisation and equations.
This workshop is designed to provide a solid foundation for the start of your Python journey. There is much more to learn outside of the material presented here!
Contents
| Lessons | Estimated Duration |
|---|---|
| Introduction to Python and Jupyter Lab | 20 min |
| Variables and data types | 45 min |
| Functions, loops and conditionals | 45 min |
| Imports and packages | 15 min |
| Data manipulation and plotting | 45 min |
| Getting Help | 10 min |
Dataset
All the files used for the above lessons are linked within, but can also be accessed here.
Installation Requirements
We will be using Jupyter Lab via CloudStor for this tutorial.
If you don’t have access to CloudStor, you can also use Jupyter Lab through Binder
If you wish to run Jupyter Lab locally, the easiest way is to download the Anaconda Python distribution and install on your laptop.