Old course materials

The course materials from 2021/22 (delivered by Dr Steven Bamford are linked below. Please see here for details of the current course.

There are also some accompanying exercises and examples.

• Session 1
  • Video 1.1 – Choosing and using Python
  • Video 1.2 – Language basics
  • Slides
• Session 2
  • Video 2 – Introduction to Python, continued
  • Slides
• Session 3
  • Video 3.1 – Environments and version control
  • Video 3.2 – Using git and GitHub (including info on coursework submission)
  • Slides
• Session 4
  • Video 4.1 – Numerical Python
  • Video 4.2 – Plotting with matplotlib
  • Slides
• Session 5
  • Video 5 – Scientific Python
  • Slides
• Session 6
  • Video 6 – Data handling
  • Slides
• Session 7
  • Video 7.1 – Python for astronomers
  • Video 7.1 – Python for theorists
  • Slides
• Session 8
  • No material, this week was student presentations
• Session 9
  • Video 9.1 – Bayesian inference and machine learning
  • Video 9.2 – Deep learning with TensorFlow
  • Slides
• Session 10
  • Video 10 – Robust, fast & friendly code
  • Slides