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Python for Finance: Mastering Data-Driven Finance

Python for Finance: Mastering Data-Driven Finance

Python for Finance: Mastering Data-Driven Finance
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Python for Finance: Mastering Data-Driven Finance Paperback - 2019

by Hilpisch, Yves J

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O'Reilly Media, 2019-01-29. 2. paperback. Used: Good. 7.00x1.60x9.10. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title Python for Finance: Mastering Data-Driven Finance
  • Author Hilpisch, Yves J
  • Binding Paperback
  • Edition 2
  • Condition Used: Good
  • Pages 711
  • Volumes 1
  • Language ENG
  • Publisher O'Reilly Media
  • Publication date 2019-01-29
  • Features Index
  • Bookseller's Inventory # SONG1492024333
  • ISBN 9781492024330 / 1492024333
  • Weight 2.6 lbs (1.18 kg)
  • Dimensions 9.1 x 7 x 1.6 in (23.11 x 17.78 x 4.06 cm)
  • Size 7.00x1.60x9.10
  • Category Computers - Languages / Programming
  • Library of Congress subjects Programming languages (Electronic computers), Python (Computer program language)
  • Dewey Decimal Code 005.133
  • Quantity available 1

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From the publisher

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.

About the author

Dr. Yves J. Hilpisch is founder and managing partner of The Python Quants (http: //tpq.io), a group that focuses on the use of open source technologies for financial data science, algorithmic trading and computational finance. He is the author of the books Python for Finance (O'Reilly, 2014), Derivatives Analytics with Python (Wiley, 2015) and Listed Volatility and Variance Derivatives (Wiley, 2017). Yves lectures on computational finance at the CQF Program (http: //cqf.com), on data science at htw saar University of Applied Sciences (http: //htwsaar.de), and is the director for the online training program leading to the first Python for Finance University Certificate (awarded by htw saar).

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