Overview
Quantitative Finance with Python is a book by Chris Kelliher, first published in 2022. In this catalogue it is classified mainly under Portfolio Optimization, with secondary coverage of Quantitative Finance.
Audience and depth. The rule-based model places its mathematical difficulty at advanced level (7/10); readers are typically expected to know calculus, linear algebra, optimization, probability theory and stochastic processes.
Orientation. The metadata points to an implementation-oriented, applied treatment. The archive holds 6 papers whose topics and vocabulary overlap with this book; those links are inferred (see the research connections below).
How to read this page. Topics, difficulty, prerequisites and orientation are model-derived (rule-based, rule_based_v1) from bibliographic metadata such as title, subject headings and edition data. They were not produced by reading the book and are not a review. Relevance confidence is 96% and difficulty confidence is 56%; the catalogue lists no ratings or awards.