Python for Finance
About this book
The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics.Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks.
Reader Profile
3.8/5 · 1 readers · 606 pages · ≈ 11 h 13 m · Moderate
How long does it take to read Python for Finance?
About ≈ 11 h 13 m — 606 pages, assuming roughly 250 words per page at 225 words per minute.
How many pages is Python for Finance?
606 pages in its most-read edition.
Is Python for Finance in the public domain?
No — it is still under copyright.
Who wrote Python for Finance?
Yves Hilpisch.