Artículos relacionados a Python for Finance 2e: Mastering Data-Driven Finance

Python for Finance 2e: Mastering Data-Driven Finance - Tapa blanda

Hilpisch, Yves

 
9781492024330: Python for Finance 2e: Mastering Data-Driven Finance
Tapa blanda
ISBN 10: 1492024333 ISBN 13: 9781492024330
Editorial: O'Reilly Media, 2019

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

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).

De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
O'Reilly Media
Año de publicación
2019
Idioma
Inglés
ISBN 10 
1492024333
ISBN 13 
9781492024330
Encuadernación
Tapa blanda
Número de edición
2
Número de páginas
711
Contacto del fabricante
no disponible
Persona responsable
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