Reading

Recommended reading


Here are some suggested reading materials.

Do you wish to add your tutorial to this list? Do you have any suggestions for this list? - Let us talk!

Scicloj resources

  • The Noj book - Documenting Noj, the main recommended stack of data & science libraries
  • The Clojure Data Tutorials - a community-driven collection of reproducible tutorials, organized using devcontainers
  • The Clojure Data Scrapbook - a community-driven collection of tutorials, with a bit less strict workflow

Contributions are welcome. 👋

Blogs

Other collections of notes

  • Mentat Collective - documenting an emerging stack of libraries and tools for math, physics, and data visualization

Tutorials

General Nextjournal collections

Math

Probabilistic programming

Data processing

Transducers

Machine Learning

XGBoost

Python interop

  • See mainly the growing list of tutorials at Squid’s Blogs mentioned above.

Plotting

R interop

Literate programming

Data Visualization

Colors

Algorithms

Books

  • Books by Dragan Djuric about Deep Learning and about Linear Algebra in Clojure - books developed alongside Dragan’s work on libraries in this fields

  • Clojure for Data Science by Henry Garner - a bit dated in terms of the stack it presents, but stll relevant in terms of the principles presented

  • Practical Artificial Intelligence by Mark Watson

Other collections of resources