Python for Finance 2e: Mastering Data-Driven Finance

The financial industry has adopted Python rapidly, with large investment banks and hedge funds using it for trading and risk management systems. This hands-on book covers Python 3 and provides practical examples for building financial applications and interactive financial analytics, including a framework for Monte Carlo simulation-based derivatives and risk analytics.

Format: Paperback / softback
Length: 685 pages
Publication date: 15 January 2019
Publisher: O'Reilly Media, Inc, USA

The financial industry has witnessed a remarkable surge in the adoption of Python, with some of the largest investment banks and hedge funds utilizing it to develop core trading and risk management systems. This trend has been further propelled by the updated release of Python 3, making it an even more attractive choice for financial professionals. In response to this demand, the second edition of this hands-on book has been revised and expanded to provide a comprehensive guide for those seeking to leverage Python for building financial applications and conducting interactive financial analytics. Authored by Yves Hilpisch, a renowned expert in financial technology, the book offers a practical approach to learning Python, catering to developers and quantitative analysts alike. Throughout its pages, readers are taken on a journey through a wide range of Python libraries and tools, enabling them to construct robust financial applications and explore innovative approaches to financial analysis. One of the key strengths of this book is its emphasis on practical examples. Each chapter is accompanied by detailed code snippets and interactive IPython Notebooks, allowing readers to apply the concepts learned directly to their own projects. By leveraging real-world case studies and scenarios, Hilpisch demonstrates how Python can be used to develop a comprehensive framework for Monte Carlo simulation-based derivatives and risk analytics. This framework is built upon a large and realistic case study, providing readers with a practical understanding of how Python can be applied in the financial industry. Whether you are a seasoned developer or a financial analyst looking to expand your skillset with Python, this book is an invaluable resource. It offers a clear and concise introduction to the language, while also providing in-depth coverage of advanced topics such as machine learning, data visualization, and high-performance computing. With its comprehensive coverage and practical approach, "Python for Finance" is a must-read for anyone seeking to stay ahead of the curve in the rapidly evolving world of financial technology.

Weight: 1188g
Dimension: 229 x 171 x 36 (mm)
ISBN-13: 9781492024330
Edition number: 2 Revised edition