Python for finance : mastering data-driven finance
Author(s)
Bibliographic Information
Python for finance : mastering data-driven finance
O'Reilly, 2018
2nd ed
- : pbk
Available at / 12 libraries
-
No Libraries matched.
- Remove all filters.
Note
Includes bibliographical references and index
Copyright: 2019
Description and Table of Contents
Description
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
by "Nielsen BookData"