A reference style resource to help build understanding in how to use Clojure for data science projects.
Inspired by the Python Data Science Handbook, the project creates a series of journal notebooks based on the chapters in this book.
Notebooks are created with the scicloj/notespace library, which generates a notebook for a specific Clojure namespace. Notebooks can be dynamically generated during development. Static versions of the notebooks will be saved in the docs/ directory and served via GitHub pages.
Clone the project from https://github.com/scicloj/scicloj-data-science-handbook
Open the project in a Clojure aware editor and start a REPL (either on the command line or from the editor itself).
Start the Notespace browser by evaluating the command (notespace/init-with-browser) in the editor attached to the REPL.
Start writing the Clojure top-level forms that make up your notebook.
Evaluate (notespace/eval-this-notespace) to evaluate all the top-level forms once in the notespace.
Evaluate (notespace/listen) to update the notespace each time the file is saved.
If you wish to clear the notebook, evaluate (notespace/init)
Run the project directly:
$ clojure -M -m scicloj.data-science-handbook
Run the project's tests (they'll fail until you edit them):
$ clojure -M:test:runner
Build an uberjar:
$ clojure -M:uberjar
Run that uberjar:
$ java -jar data-science-handbook.jar
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