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]
• Using pandas to create Fiscal Calendars and 52/53 (aka 4-4-5) Lookup Calendars in Python [ipynb][html]

Julia

• SQL to Julia Translation for basic sorting, filtering, and aggregating of data [ipynb][html]
• Linear Regression with GLM [ipynb] [html]
• A Julia Project Workflow, i.e. setting up a new environment and project scaffolding [ipynb] [html]
• Random Sampling from Distributions in Julia [ipynb][html]
• First Impressions of Data Visualization with Makie and AlgebraOfGraphics [ipynb] [html]