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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