Notes

Links to Jupyter Notebooks rendered in HTML and available through nbviewer to review key concepts. I don’t work in Julia every day so I find it useful to keep a record of basic syntax until this becomes muscle memory.

Python

• Monte Carlo is Easy and Free in Python [ipynb] [html]
• Waterfall Charts in Plotly for FPnA [ipynb] [html]
• Simple Examples of Bayesian Networks with Python pgmpy [ipynb] [nbviewer]

Julia

• Basic Julia DataFrame loading and manipulation, i.e. Subsetting Rows in a DataFrame, pulling a CSV from the web, PyCall [ipynb] [html]
• Linear Regression with GLM [ipynb] [html]
• A Julia Project Workflow, i.e. setting up a new environment and project scaffolding [ipynb] [html]