Lecture 1 — Course environment

Thu 8 Oct 2026 · Boris Bolliet

Slides Notes Self-test Recording

Demonstration files

File	View	Download	Colab
predator_prey_cycles.ipynb
C9.csv
period.py
requirements.txt

curl -LO https://teaching.borisbolliet.io/c1-2026/materials/class01-demo.zip && unzip class01-demo.zip

Data: experiment C9 of B. Blasius, L. Rudolf, G. Weithoff, U. Gaedke and G. F. Fussmann, Long-term cyclic persistence in an experimental predator–prey system, Nature 577, 226–230 (2020); data set on figshare, doi:10.6084/m9.figshare.10045976 (CC BY 4.0).

Content

1. Python interpreters
   • Research computing and coding assistants
   • The running example
   • The Python interpreter
   • Interpreters on disk and Python versions
2. Virtual environments and packages
   • Virtual environments
   • Activation, pip and requirements
3. Notebooks and editors
   • Notebooks and kernels
   • JupyterLab and VS Code
4. Remote machines
   • Connecting to a remote machine over SSH
   • Python environments on a remote machine
   • VS Code Remote-SSH

Exercises with solutions