- General Nextjournal collections
- Data processing
- Machine Learning
- Python interop
- R interop
- Literate programming
- Data Visualization
- Other collections of resources
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!
- Squid's Blogs by Carin Meier - deep learning, MXNet, Python interop and other technical topics
- Arthur Caillau's Blog - featuring the "MXNet made simple" series
- Dragan Djuric - numerical computing, linear algebra, high performance computing and deep learning
- 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
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
- vdquil - Examples from Ben Fry's "Visualizing Data" in quil - by Dave Liepmann
- 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
Other collections of resources