Bits and Pieces for the Carpentries Workshops

Deutsche Version

A collection of Jupyter Notebooks, short references, and recommendations for Carpentries workshops.

Use the sidebar on the left to navigate to the individual materials.

Python Notebooks

Topic Content
Python Basics Introduction to Python
Pandas & Statistics Data analysis, visualization, hypothesis testing
APIs DOI, ISBN, PubMed, Crossref, DataCite
Machine Learning PCA, t-SNE, classification, regression
Web Scraping Beautiful Soup, HTML
Object-Oriented Programming Classes, objects, inheritance
Python Functions ISBN validation and cleaning
Regular Expressions Extracting data from XML files
Miscellaneous PubMed search

Short References

Compact cheat sheets to look things up during and after the workshop: Git, Markdown, Python, and Shell.

Recommendations

A curated list of libraries, books, podcasts, videos, editors/IDEs, and tips & tricks around the workshop topics.

Source Code

The source code of these materials is available on Codeberg.