Python I (Spring 2026)

Python 1 Course logo

A 3-day introductory course targeted towards SUND researchers with no (or very limited) experience with using Python

The course will first introduce the programming language in general, its strengths and use cases, and we will demonstrate how to run Python code in Jupyter Notebooks using Google Colaboratory. The course will provide an overview of the fundamental Pythonic data types and data structures such as strings, floats, integers, Boolean, lists, dictionaries etc., and participants will learn about conditional statements, how to write loops and how to organize code in functions. Lastly, the course will cover several libraries, especially pandas and library plotly express, which allow for efficient data manipulation and visualization.  

Requirements

There are no prerequisites to participate in the course. Please come prepared for the first day of the course by following the directions provided in advance by course instructors.

Interested?

➡️ If you are an employee, sign up here
➡️ If you are a PhD student, sign up here

Course Disclaimers

      • The course is free of charge and intended for all KU researchers, and especially PhD students, at SUND
      • A no-show fee will be implemented for registrants who do not attend the course
      • If you are a PhD student and you would like to receive ECTS credits for participating in this course, you must enroll through the PhD school system
      • If you are not a PhD student and sign up via the PhD school registration link, you will be charged for the course
      • Please be advised that course participation via the PhD school happens under the PhD school's terms and conditions which HeaDS has no influence over