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.