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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.
This is a digital product.
Python for Finance: Mastering Data-Driven Finance 2nd Edition is written by Yves J. Hilpisch and published by O’Reilly Media. The Digital and eTextbook ISBNs for Python for Finance are 9781492024293, 1492024295 and the print ISBNs are 9781492024330, 1492024333. Additional ISBNs for this eTextbook include 9781492024309, 9781492024316.

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