Introduction to Python Programming for Biologists

Dates

24-27 February 2025

 

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.

Program

 

Monday– Classes from 2-8 PM Berlin time

 

    Introduction, concepts, & data types
    Basic data types, first coding, & Data manipulation
    Collections - Lists & Tuples
    Project: Manipulating DNA sequences - Transcription Factor Binding

 


Tuesday– Classes from 2-8 PM Berlin time


    Collections - Dictionaries
    Conditionals & loops
    Advanced string manipulation
    Project: Manipulating Complex Field Data

 


Wednesday– Classes from 2-8 PM Berlin time


    I/O handling
    Organising code into functions
    Modules and libraries: BioPython
    Project: Chipseq, bespoke file formats, and functional organisation

 


Thursday– Classes from 2-8 PM Berlin time

    Statistics modules: numpy & pandas
    Data visualisation packages (matplotlib/seaborn/plotly)
    Your code as command line programs
    Coding in the age of ChatGPT and AI bots
    Project: More data problem solving - viral genomics


Cost overview

 

Package 1

480 €


Should you have any further questions, please send an email to info@physalia-courses.org

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.