Readme for Jupyter Notebooks

Jupyter notebooks in R, Common Lisp (SBCL) and Python

Common Lisp

https://github.com/stephen-rowan/Jupyter_Notebooks/tree/master/Common-Lisp

Exercises taken from Practical Common Lisp by Peter Seibel.

Data Science for Business

Notes and exercises from Data Science for Business by Foster Provost and Tom Fawcett.

Datacamp

Datacamp exercises.

Graphs (Python)

Playing with graphs (diagraphs) and graphviz in Python.

Introduction to Probability and Data (R)

Exercises and notes from the Coursera course “Introduction to Probability and Data”.

JSON (R)

These workbooks use the R statistical language to extract data from websites using Omeka’s JSON API.

Lambda Calculus (Haskell)

Rough notes and exercises in Haskell.

Linear Algebra (Python)

Linear Algebra exercises.

Probabilistic Programming and Bayesian Methods for Hackers (Python)

Exercises from the book Probabilistic Programming and Bayesian Methods for Hackers

Tensor Flow (Python)

Basic Tensor Flow exercises in Python.