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90270311
Python for Finance 2e: Mastering Data-Driven Finance
88% of respondents would recommend this to a friend
物品 #:
90270311
HKD 599
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現在訂購，約可在下列時間收貨： Sunday, 十月 11
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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 Learning
Offers in-depth coverage of Python's applications in finance, guiding readers through real-world data analysis and investment strategies.
Illustrative Content
Incorporates visual aids and practical examples, making complex financial concepts accessible and easier to understand for both beginners and experts.
Data-Driven Approach
Focuses on leveraging data science techniques to drive financial decision-making, empowering readers with skills essential for today's finance industry challenges.
產品詳情
- 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 |
| Publication date | 15 Jan. 2019 |
| Edition | 2nd |
| Language | English |
| Print length | 711 pages |
| ISBN-10 | 1492024333 |
| ISBN-13 | 978-1492024330 |
| Item weight | 1.11 kg |
| Dimensions | 17.78 x 3.81 x 23.5 cm |
Who Should Buy?
-
Finance Professionals
Ideal for those in finance looking to leverage Python for data analysis and financial modeling techniques.
-
Data Analysts
Perfect for analysts wanting to deepen their understanding of finance using Python tools and methodologies.
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Students and Learners
Great for students studying finance or data science, providing a practical approach to apply their knowledge.
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Complete Beginners
Not suitable for individuals with no prior programming experience, as it requires basic Python knowledge.
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E-business Editorial Review
Python For Finance 2e: Mastering Data-Driven Finance is a comprehensive resource published by O'Reilly, ideal for those looking to deepen their understanding of financial analysis through coding. This second edition, released on January 15, 2019, provides 711 pages of practical examples specifically designed for use in Jupyter Notebook, making it accessible for readers familiar with basic statistics. Although the book is filled with useful insights and code snippets, some readers note that the rapid coverage of Python fundamentals may not suit complete beginners, as the explanations can be minimal and the application of certain concepts might be challenging without prior knowledge. However, users generally find it to be a brilliant resource that they keep on their desks for frequent reference.
Customer Reviews & Ratings
305 客戶評分
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優點
- Practical examples for real-world applications
- Designed for use in Jupyter Notebook
- High-quality insights into data-driven finance
- Comprehensive coverage of finance concepts
- Well-recommended by other readers
缺點
- Brief coverage of Python may confuse beginners
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HKD 599
現在訂購，約可在下列時間收貨： Sunday, 十月 11
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特色和優勢
- 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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