This repository contains the materials for the course 'Python for downstream data-analysis' given on 25 February and 04 March 2021.
The materials are part of a two day workshop, however you can follow each day separately:
- Day 1: Data science with
pandasandseaborn(chapters 01, 02, 03). - Day 2: Python for biological questions with
Biopython(chapters 04-08).
- Basic knowledge of Python. We encourage you to follow our extensive Gentle hands-on introduction to Python programming workshop if you have no experience at all.
- For the second day it helps if you have some understanding of very basic molecular biological processes (transcription, translations) and how a fasta-file, fastq-file, etc. looks like.
This materials are created in Jupyter Notebooks or JupyterLab, please follow the instructions below to install Jupyter & get started.
- Go to Anaconda, scroll down to the Anaconda Installers section, select the right distribution system (Windows, MacOS or Linux) and download the latest Python version. Follow the installation instructions.
- Open Anaconda Navigator. From here you can choose to launch either a JupyterLab or Jupyter Notebook which opens a new tab in your browser.
- Find the training materials on our (this) GitHub repository: python-data-analysis
- Click the green button Code and select Download ZIP. Finally, extract the zipped file in a folder accessible by Jupyter.
- In Jupyter Notebook or JupyterLab, navigate to the extracted ZIP-files of the course, open the first Notebook and enjoy!
Have fun!