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!
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)
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
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
Tutorials play an important role on our journey to make Clojure an accessible, friendly platform for data science.
Of course, they allow us to share and learn existing methods and practices. No less importantly, working on tutorials helps us see the toolset meet its use cases, and thus realize what is still missing, and what could be improved.
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
Math
- Math for clojurists by Alan Marazzi
Probabilistic programming
Data processing
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
- 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
Data Visualization
Colors
- clojure2d.color documentation - path of the clojure2d library
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