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 #

• TechAscent Blog by the group behind a few of the Clojure high-performance and data-analytics libraries (mostly those at techascent, as well as dtype-next and libpython-clj)

• Clojure Tidy Tuesdays by Kira McLean - Clojure data explorations of datasets shared in the R community

• Code with Kira - by Kira McLean - in partucular:

  • Data Manipulation in Clojure Compared to R and Python (2024-07-18)
  • The Current State of ML in Clojure (2024-04-05)

• eion.site by Eoin Carney has various data-related blog posts - in particular:

  • a Clojure Tidy Tuesdays collection of notebooks

• Blog posts by Timothy Pratley

  • Exploring probability distributions (2024-07)
  • ClojureTV video views analysis (2024-06)

• Squid’s Blogs by Carin Meier - deep learning, MXNet, Python interop and other technical topics

• Dragan Djuric - numerical computing, linear algebra, high performance computing and deep learning

• Atabey Kaygun - math, algorithms, machine learning, and data science topics demonstrated through Clojure and other Lisp dialects - in particular, Graph Algorithms in Clojure with JGraphT (2023-01-14) and many others

• Thomas-Sojka - data visualization and other topics - in particular: hiccup-d3 - a gallery of Hiccup D3-charts in Clojurescript

• Georgy Toporkov’s Lebenswelt - Data processing, publishing, and other topics - in particular: Dealing with out-of-memory faulty csv’s with Clojure, Duckdb, and Parquet (2024-01-22)

• Arthur Caillau’s Blog - featuring the “MXNet made simple” series - deep learning from Clojure

• Christopher Small - discussing the development of Oz, among other things

• Clojure Goes Fast - overviews tools and practices for profiling and improving performance in Clojure

• Applied Science blog by Dave Liepmann, Matt Huebert and Jack Rusher - Deep learning, data visualization, data processing

Other collections of notes #

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

Tutorials #

General Nextjournal collections #

• Dieter Komentera - various topics

• Tomasz Sulej - various topics

• Alan Marazzi - various topics

• Carin Meier - mainly Python interop

• Chris Nuernberger - mainly Python interop

Statistics #

• Statistical Computing in Clojure: Functional Approaches to Unsupervised Learning (PCA with Neanderthal) by Jaryt Salvo, Dec. 2024

Time series #

• Time Series Forecasting using Clojure by Anton Lobach, Apr. 2025

Math #

• Fastmath tutorials

• Structure and Interpretation of Classical Mechanics with the Emmy Algebra System by Markus Agwin, Jan 2025

• Math for clojurists by Alan Marazzi

Probabilistic programming #

• gen.clj tutorial

Data processing #

• Tablecloth tutorial

Transducers #

• A general introduction by Amit Ramon

Machine Learning #

XGBoost #

• clj-boost - A tutorial by Alan Marazzi

Python interop #

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

Plotting #

• vega-lite example Gallery in EDN by Carsten Behring
• Fun With Matplotlib by Chris Nuernberger.
• Panthera tutorials

R interop #

• Clojisr tutorials
• Clojisr examples with lots of vizualiations, by Tomsaz Sulej and others

Literate programming #

• Clojupyter examples
• Clay tutorial

Data Visualization #

• Vega-Lite example gallery in EDN by Carsten Behring
• vdquil - Examples from Ben Fry’s “Visualizing Data” in quil - by Dave Liepmann

Colors #

• clojure2d.color documentation - path of the clojure2d library

Algorithms #

• High-Dimensional Computing With Sparse Vectors Using Clojure by Benjamin Schwerdtner, Sep. 2024

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 #

• Resources for Clojure beginners collected by Dmitri Sotnikov

• An intro to Clojure by Chris Nuernberger, inviting newcomers, mostly Pythonistas, to some of its core ideas