Regression is at the root of almost everything in quantitative finance as well as data science. So it’s good to go into a little more detail that here. As usual, all the code is available at the notebook here.
This is a super simple primer on interpolation. Less a tutorial, more a quick reminder when you need to do some interpolation quickly.
First, why interpolate?
One of the best ways to demonstrate the usefulness of the Pandas library is to use it to analyse financial data.
One of Pandas’ magic powers is that it has a shitload of functions for analysing data. When we start with any…
Pandas has other magic powers. Two of these that are used often are its functions to…
With Numpy, it may sometimes still be a pain to manipulate data. For example, matrices in Numpy can’t be labelled. The…