Financial Theory with Python: A Gentle Introduction

Target Audience

I have written a number of books about Python applied to finance. My company, The Python Quants, offers a number of live and online training classes in Python for finance. For all of my previous books and the training classes, the book readers and training participants are expected to already have some background knowledge in both finance and Python programming or a similar language.

This book starts completely from scratch, with just the expectation that the reader has some basic knowledge in mathematics, in particular from calculus, linear algebra, and probability theory. Although the book material is almost self-contained with regard to the mathematical concepts introduced, an introductory mathematics book like Mathematics for Economists (2016) by Pemberton and Rau is recommended for further details if needed.

Given this approach, this book targets students, academics, and professionals alike who want to learn about financial theory, financial data modeling, and the use of Python for computational finance. It is a systematic introduction to the field on which to build through more advanced books or training programs.