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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
Product details
- Paperback | 685 pages
- 181 x 233 x 31mm | 1,030g
- 15 Jan 2019
- O'Reilly Media, Inc, USA
- Sebastopol, United States
- English
- Revised
- 2nd Revised edition
- 1492024333
- 9781492024330
- 88,334
Download Python for Finance 2e : Mastering Data-Driven Finance (9781492024330).pdf, available at prealblog.org for free.
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