This site publishes a curated set of notes. The notes below are grouped loosely by topic to make the collection easier to scan.
Python, finance, and data workflows
| Ball and Brown (1968): Replication using Python Polars |
Accounting research, Replication, Python |
| Data management ideas for researchers |
Python, Parquet, db2pq, WRDS |
| Data management ideas for researchers (R version) |
R, Parquet, db2pq, WRDS |
Some benchmarks with comp.g_secd |
SAS, WRDS, CRSP, Parquet, Python |
| The best of both worlds: Using modern data frame libraries to create pandas data |
WRDS, Polars, Ibis, pandas |
| Using SAS to create pandas data |
SAS, pandas, wrds2pg |
| Calculating betas using DuckDB |
Tidy Finance, DuckDB, WRDS, Finance |
Trading days per year (crsp.dsf) |
CRSP, WRDS |
| Stock returns on Yahoo Finance |
Yahoo, finance |
| Adding delisting returns to monthly data |
SAS, Stock returns, CRSP |
R, graphics, and miscellaneous data notes
| A quick look at City of Melbourne bike data |
Melbourne, transport |
| Data visualization challenge |
Data visualization, ggplot2 |
Making plotnine more ‘Pythonic’ |
Python, plotnine, graphics |
| Retail sales |
Retail, ABS, R |
| Defining winter and summer in Boston |
Weather, Boston |
| Defining winter and summer in Melbourne |
Weather, Australia, Melbourne |
| Defining winter and summer in Sydney |
Weather, Australia, Sydney |
| Defining winter and summer in Oxford |
Weather, Oxford, Python |
| Sunrise and sunset times |
Datetimes, Weather, Australia, Melbourne, Boston |