Introduction to Python Programming

Lisanna Paladin   2023-02-15   Comments Off on Introduction to Python Programming

Date(s) - 2023-02-15 - 2023-02-17
10:00 CET - 16:00 CET



  • Benedikt Best
  • Francesco Tabaro
  • Gorka Bravo Martinez
  • Lisanna Paladin
  • Renato Alves
  • Santhusts
  • Course Description

    This course provides an introduction to programming with the Python language. The course material is suitable for complete beginners, with no previous programming experience or knowledge required or assumed. Participants can work through the course at their own pace, so the materials are also suitable for those with some programming experience.

    Python has grown in recent years to become one of the most widely-used programming languages in biology. This increasing popularity reflects how easy Python is to learn compared with other languages, and how adaptable it is to a wide variety of different tasks. Simultaneously, the rise of data-driven approaches to science means that programming skills are becoming more and more important for biologists.

    The course will include several short taught sections but most of the time will be devoted to more informal, practical sessions allowing attendees to get to grips with the language at their own pace. This provides the perfect starting point for scientists who would like to begin programming, while also catering to more experienced programmers who just want to learn the fundamentals of a new language.

    Participants will learn:

    • the basic concepts and building blocks of programming in Python
    • how to quickly automate repetitive tasks and calculations
    • the best ways of handling different types of data
    • working with the extensive catalogue of subject-specific modules available for Python
    • how to read data from a file, process, and summarise it
    • automating the visualisation of data using Python’s powerful plotting libraries

    After attending the course, you will have a good understanding of the core themes of programming, and be able to write your own Python programs, to automate repetitive analysis tasks and produce visualisations of your data. The course organisers will be on hand to provide help and advice throughout the duration of the course.

    Prerequisites: None


    Participants are required to have their own laptop to work with on the course, with the Anaconda Python Distribution installed. The course setup instructions include an installation guide. If you would need help in this process, please email Bio-IT **in advance of the course**. If you prefer not to install Anaconda, even though this is not suggested because highly dependent on the connection quality, you could also run the course practicals on the EMBL Jupyter Hub.

    To join the online version of this online course, you will also need the Zoom client installed on your computer. You can get this at zoom download. You will receive connection details after you have registered using the form below.

    We will provide the possibility to have this course on site in Heidelberg. The room will be used only if we will have enough attendees planning to join in person, hence please be aware that your in person registration might be moved to an online one.


    Please check the course outline. Each day will include two sessions, the morning from 10 to 12 and the afternoon from 14 to 16.


    Ufortunately, there are no more seats available for this course. You can still register to the waiting list, in which case you will be contacted (in order of registration) in case anyone will cancel their registration.

    Please notice that by registering to the waitiling list you are not registered to the course.


    Bookings are closed for this event.