Acknowledged author Yves Hilpisch wrote Python for Finance: Analyze Big Financial Data comprising 606 pages back in 2014. Textbook and etextbook are published under ISBN 1491945281 and 9781491945285. Since then Python for Finance: Analyze Big Financial Data textbook was available to sell back to BooksRun online for the top buyback price or rent at the marketplace.
The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects of using Python for quantitative finance.
Using practical examples through 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, with topics that include: