Introduction to Python Programming for Biologists


22-25 May 2023


To foster international participation, this course will be held online



Course overview

This is a four-day course designed to provide an introduction to the Python programming language for all biologists and life scientists. Throughout the course, participants will learn python programming concepts and practical applications, engaging in hands-on coding exercises and projects to solidify their understanding.

Target audience and assumed background

The course is intended for biologists at all levels (students, researchers, and group leaders) with little or no prior programming experience. The pace of the course will begin foundational and develop into more complex aspects, with lots of time dedicated to the practice of the concepts covered.


Learning outcomes

By the end of the course, participants will be able to:


  • Write and run basic Python code to extract, parse, process, analyse and visualise biological data
  • Understand the basics of bioinformatics libraries in Python
  • Understand the basics of data analysis and statistics using Python
  • Write organised and reusable code
  • Create a simple project using Python for their specific field.



Monday– Classes from 2-8 PM Berlin time

Introduction to Python concepts and coding with Jupyter
Basic data types and simple functions
Data manipulation and I/O handling
Project: Creating a program with variable inputs to manipulate DNA sequences


Tuesday– Classes from 2-8 PM Berlin time

Conditionals & loops
Handling bioinformatic file formats
Writing functions & object oriented code
Project: Extract, parse and process sequence data from FASTA and GenBank files


Wednesday– Classes from 2-8 PM Berlin time

Using BioPython & libraries intro (i.e. Statistical packages Numpy/Pandas)
Further coding practice with biological data manipulation and analysis techniques
Accessing third-party bioinformatics tools with Python
Project: Problem solving with real-world biological datasets


Thursday– Classes from 2-8 PM Berlin time

Data visualisation packages (matplotlib/seaborn/plotly)
Project: Create basic plots of genetic data and compute basic statistics
Organising & sharing your code with Git
Project: Developing your-research project concepts and presentation

Cost overview


Package 1

480 €

Should you have any further questions, please send an email to

Cancellation Policy:


> 30  days before the start date = 30% cancellation fee

< 30 days before the start date= No Refund.


Physalia-courses cannot be held responsible for any travel fees, accommodation or other expenses incurred to you as a result of the cancellation.