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Description: 📚 The CoCalc Library - books, templates and other resources
Bayesian-Modelling-in-Python/
PythonDataScienceHandbook/
README.md
Schymanski_leaf-scale_2016/
aata/
bayesian-methods-for-hackers/
beezer-linear-algebra/
cmichi-latex-templates/
cmws/
cocalc-example-files/
dask-tutorial/
data-science-ipython-notebooks/
deedy-latex-templates/
first-steps/
index.json
index.py
index.yaml
introduction_to_ml_with_python/
makefile
martinthoma-latex-examples/
math157/
nbgrader-demo/
paulsen-abstract-algebra/
public_finance_2018_2019/
requirements.txt
scientific-python-lectures/
scikit-image-tutorials/
stanford-tensorflow-tutorials/
statistical-rethinking-python-PyMC3/
think-OS/
think-bayes/
think-complexity-2ed/
think-dsp/
think-python-2ed/
think-stats-2ed/
thumbs/
tresham-calculus-worksheets/
vqe-playground/