Code snippet to create a PnL (Profit and Loss Statement) Dataframe in Pandas
Getting started using the
forecast package for time series data in R, as quickly as possible and no explanations.
A collection of responses from Caitlin Hudon’s twitter thread on ‘how to ask a good data question.’ (Updated 2020-03-15)
Today I learned that there are design studios who specialize in ‘Screen Graphics’ - the cool visual effects that shows up on computer screens in movies like The Martian and Blade Runner 2049. And then I wonder why our corporate finance dashboards seem to miss the mark.
My local data mart runs on MS SQL Server, and I want to pull data directly into R or Python for data analysis. This is really easy on Windows with its' built-in ODBC manager, but I spent a weekend figuring out how to do this after switching to OSX. A lot of documentation out there is old (from 2012), so I decided to make this for anyone still looking for an answer in 2019.
Excel is still the lingua franca of Corporate Finance and is blazing fast for quick, ad-hoc analyses. I learned early on to use excel without a mouse, and with the Quick Access Toolbar and some macros, you can even make Excel feel like a video game!
From HBR: 3 Habits to Improve Critical Thinking by Helen Lee Bouygues. A good read for anyone looking to keep their critical thinking muscles sharp as told through stories from Bouygues' experience as a board member and consultant. They might seem obvious, but I’ll admit that I don’t always consider these.