Clean Python for Reproducible Research

Thursday 02 October, 14:00-15:00
Online via Google Meet
A man sitting in front of a computer on a desk

Photo by Mikhail Fesenko on Unsplash

This training session is delivered by Anwar Abdi from Learnfinity

This live, practical session introduces core techniques for improving the quality and transparency of research code.
Participants will learn how to:

  • Write clearer, modular Python scripts
  • Use Git for version tracking and collaboration
  • Set up reusable Jupyter Notebooks for consistent workflows

No prior experience is required. The workshop is suitable for all doctoral students using (or planning to use) Python in their research.

 

Places will be allocated on a first-come, first-served basis, and once places are full, we will maintain a waiting list.

Please only register if you are certain of your availability and commitment to attend.

Book Now OR Join the Waiting List