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9482901
Python for Finance: Mastering Data-Driven Finance
90% of respondents would recommend this to a friend
Item #:
9482901
GBP 43
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Master the financial industry's most in-demand programming language and elevate your analytics with practical examples and real-world case studies.
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What Stands Out
Comprehensive Coverage
Explores essential finance topics with Python, aiding both beginners and professionals in understanding data-driven financial practices comprehensively.
Real-World Applications
Includes practical examples and case studies, empowering users to apply Python skills effectively in real financial scenarios, enhancing their employability.
Updated Content
The second edition features the latest tools and techniques in data-driven finance, ensuring users stay current with industry standards and advancements.
Product Details
- 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.
| 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 (1.11 kg) |
| Dimensions | 7 x 1.5 x 9.25 inches (17.8 x 3.8 x 23.5 cm) |
Who Should Buy?
-
Finance Professionals
Individuals in finance roles can leverage Python for effective data analysis and financial modeling techniques.
-
Data Analysts
This book provides insights on using Python for analyzing financial data, enhancing data analysis skills.
-
Developers Transitioning
Developers seeking to shift into finance will benefit from practical applications of Python in this field.
-
Beginners in Python
Complete novices may struggle with foundational concepts before applying Python techniques in finance.
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Data Modeling & Design Editorial Review
Python for Finance: Mastering Data-Driven Finance 2nd Edition is a comprehensive book that provides an introduction to the scientific stack of Python, focusing on the core functionality of the tools and packages available. The first two-thirds of the book offer quick overviews and examples of numpy, pandas, scipy, scikit-learn, and other packages, making it a useful reference for those in the finance industry. However, the book has several flaws, including a lack of explanation of actual finance concepts, requirements for paid platforms, and code that does not work properly. Overall, the book is a decent introduction to the scientific stack but falls short in some areas.
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Pros
- Provides an introduction to the scientific stack of Python
- Offers quick overviews and examples of core functionality
- Useful reference for those in the finance industry
Cons
- Little-to-no explanation of actual finance concepts
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GBP 43
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Features & Benefits
- Discover the power of Python in the financial sector.
- Learn to build core trading and risk management systems.
- Updated for Python 3 with hands-on examples.
- Includes a full-fledged framework for Monte Carlo simulation.
- Utilizes interactive IPython notebooks for practical learning.
- Ideal for developers and quantitative analysts looking to enhance their skills.
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