Course README
Applied Python
Applied Python is part of the UoN Digital Skills programme. It provides a practical route into Python programming for research and data analysis. Start with the Course Overview for the lesson sequence and intended audience.
What This Course Contains
This course section of the site contains:
- lesson pages for the Applied Python pathway
- learner setup, reference, discussion and additional practice material
- instructor notes and optional teaching extensions
- course-level information about contribution, conduct, licensing, and learner profiles
Course Scope
The course supports participants to:
- build confidence with core Python programming concepts
- work more effectively with data structures, loops, functions, and debugging
- develop more reproducible analytical habits
- connect programming practice to real research workflows
Adaptation and Attribution
This local course is substantially adapted from Software Carpentry’s python-novice-inflammation lesson.
The UoN version reorganises, extends, and contextualises that material for local delivery in the Methods for Data Science pathway.
- Upstream lesson repository: https://github.com/swcarpentry/python-novice-inflammation
- Upstream lesson site: https://swcarpentry.github.io/python-novice-inflammation/
Contributing
Contribution guidance is available in CONTRIBUTING.qmd.