# 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]