About the course

AIMS

• Familiarize students with Python, the standard library, and selected external packages.
• Training in finding solutions for many problems that occur in everyday scientific programming.
• Training in using best programming practices: writing readable and efficient code, testing programs, writing documentation.

DESCRIPTION

This course will be online-only. I will be providing online workshop material in the form of web pages and other resources. The material is arranged into weekly sets of topics. Coursework will consist of weekly homeworks and a final project. Collaboration on homeworks and projects is not permitted.

For questions about the course please contact me by my email (preferable) or MS Teams.

How to send homeworks:
(1) via email with a link to your GitHub repository (preferable),
(2) via email with a link to a ZIP file in your UJ cloud,
(3) via email with a ZIP file attached.

EXPECTATIONS

Basic knowledge of Microsoft Windows 10/11 and Linux.

No prior experience with Python is required.

FINAL PROJECTS

A list of suggested projects subjects will be given later. A typical project should include computations, file management, and data visualization. You should choose your final project in the middle of the semester. The final result of the project is the Python code and the short documentation (PDF, HTML, TXT, or README.md file).