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  • Python for Finance: Mastering Data-Driven Finance

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Python for Finance: Mastering Data-Driven Finance

by Yves Hilpisch (Author) Format: Paperback
4.6 out of 5 stars (323)

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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.

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  1. ISBN-10
    1492024333
  2. ISBN-13
    978-1492024330
  3. Edition
    2nd
  4. Publisher
    O'Reilly Media
  5. Publication date
    January 8, 2019
  6. Language
    English
  7. Dimensions
    7 x 1.5 x 9.25 inches
  8. Print length
    711 pages
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From the Publisher

python, finance

Why Python for Finance

Python is a high-level, multipurpose programming language that is used in a wide range of domains and technical fields. Python is used by the beginner programmer as well as by the highly skilled expert developer, at schools, in universities, at web companies, in large corporations and financial institutions, as well as in any scientific field.

Python as a language—and even more so as an ecosystem—is an ideal technological framework for the financial industry as whole and the individual working in finance alike. It is characterized by a number of benefits, like an elegant syntax, efficient development approaches, and usability for prototyping as well as production. With its huge amount of available packages, libraries, and tools, Python seems to have answers to most questions raised by recent developments in the financial industry in terms of analytics, data volumes and frequency, compliance and regulation, as well as technology itself.

It has the potential to provide a single, powerful, consistent framework with which to streamline end-to-end development and production efforts even across larger financial institutions.

In addition, Python has become the programming language of choice for artificial intelligence in general and machine and deep learning in particular. Python is therefore the right language for data-driven finance as well as for AI-first finance, two recent trends that are about to reshape finance and the financial industry in fundamental ways.

Financial Theory with Python: A Gentle Introduction
Python for Finance: Mastering Data-Driven Finance
Python for Algorithmic Trading: From Idea to Cloud Deployment
Artificial Intelligence in Finance: A Python-Based Guide
Reinforcement Learning for Finance: A Python-Based Introduction
Customer Reviews
4.3 out of 5 stars 38
4.6 out of 5 stars 323
4.4 out of 5 stars 151
4.5 out of 5 stars 66
5.0 out of 5 stars 4
Also by Yves Hilpisch A Gentle Introduction Mastering Data-Driven Finance From Idea to Cloud Deployment A Python-Based Guide A Python-Based Introduction

Editorial Reviews

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).

Product details

  • Publisher ‏ : ‎ O'Reilly Media
  • Publication date ‏ : ‎ January 8, 2019
  • Edition ‏ : ‎ 2nd
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 711 pages
  • ISBN-10 ‏ : ‎ 1492024333
  • ISBN-13 ‏ : ‎ 978-1492024330
  • Item Weight ‏ : ‎ 2.45 pounds
  • Dimensions ‏ : ‎ 7 x 1.5 x 9.25 inches
  • Best Sellers Rank: #214,210 in Books (See Top 100 in Books)
  • Customer Reviews:
    4.6 out of 5 stars (323)

About the author

Follow authors to get new release updates, plus improved recommendations.
Yves J. Hilpisch

Yves J. Hilpisch

Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.

Dr. Yves J. Hilpisch is founder and CEO of The Python Quants (http://tpq.io), a group focusing on the use of open source technologies for financial data science, artificial intelligence, algorithmic trading, and computational finance. He is also the founder and CEO of The AI Machine (http://aimachine.io), a company focused on AI-powered algorithmic trading based on a proprietary strategy execution platform.

Yves has a Diploma in Business Administration, a Ph.D. in Mathematical Finance and is Adjunct Professor for Computational Finance.

Yves is the author of five books (https://home.tpq.io/books):

* Artificial Intelligence in Finance (O’Reilly, forthcoming)

* Python for Algorithmic Trading (O’Reilly, forthcoming)

* Python for Finance (2018, 2nd ed., O’Reilly)

* Listed Volatility and Variance Derivatives (2017, Wiley Finance)

* Derivatives Analytics with Python (2015, Wiley Finance)

Yves is the director of the first online training program leading to University Certificates in Python for Algorithmic Trading (https://home.tpq.io/certificates/pyalgo) and Computational Finance (https://home.tpq.io/certificates/compfin). He also lectures on computational finance, machine learning, and algorithmic trading at the CQF Program (http://cqf.com).

Yves is the originator of the financial analytics library DX Analytics (http://dx-analytics.com) and organizes Meetup group events, conferences, and bootcamps about Python, artificial intelligence and algorithmic trading in London (http://pqf.tpq.io), New York (http://aifat.tpq.io), Frankfurt, Berlin, and Paris. He has given keynote speeches at technology conferences in the United States, Europe, and Asia.

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