2025 code review

[TomMonks]

MSc content

Primarily a check that all code runs. Issues, actions, and resolutions are reported in the thread below

hds_code conda environment

• [x] Review version of python and updated if needed
• [x] Add nbqa and hatch to environment
• [x] Update packages to latest versions, build, and check for compatibility on Linux
• [x] check compatibility on Windows
• [ ] check compatibility on Mac
• [x] Main check of notebooks is error by moving to numpy>=2
• [ ]

Additions and updates to content

This varies by year depending on thoughts, ideas and changes in tech

• [ ] Add more code linting and autoformatting examples with nbqa
• [x] Update python package material to use hatch
• [x] Update python package material to show install from GitHub
• [x] Update instructions to put packages on PyPI - switch to API tokens
• [x] Improve content for packages to consider dependencies: packages versus projects
• [ ] Adding pytest materials for python packages
• [ ] Optional - Use of LLMs for coding - to following on from testing.
• [ ] Improve content for conda virtual environments

Issues

• [x] Fix issues raised by students from prior year.

Notebooks

• TBA

[TomMonks]

More code linting examples are provided separately in a JupyterLab intro. Will be added in due course.