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90270311
Python for Finance: Mastering Data-Driven Finance Paperback – Illustrated, 29 Jan. 2019
95% of respondents would recommend this to a friend
Item #:
90270311
HTG 10470
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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.
Product Details
| Publisher | O'Reilly Media |
| Publication date | 29 Jan. 2019 |
| Edition | 2nd ed. |
| Language | English |
| Print length | 711 pages |
| ISBN-10 | 1492024333 |
| ISBN-13 | 978-1492024330 |
| Item weight | 1.18 kg |
| Dimensions | 17.78 x 4.06 x 23.11 cm |
Who Should Buy?
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Finance Professionals
Ideal for those in finance looking to leverage Python for data analysis and financial modeling techniques.
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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.
Product Description
Python for Finance: Mastering Data-Driven Finance Paperback – Illustrated, 29 Jan. 2019
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Customer Questions & Answers
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Question:
What previous knowledge do I need to use this book?
Answer: A basic understanding of Python and financial concepts will help, but beginners can also follow along with the hands-on examples. -
Question:
Is this book suitable for self-study?
Answer: Yes, the book is designed for self-study with practical exercises and examples to follow. -
Question:
Will this book help me in a financial career?
Answer: Absolutely! It equips you with essential Python skills relevant to investment banking and risk management roles.
E-business Editorial Review
**** "Python for Finance 2e: Mastering Data-Driven Finance" has garnered solid acclaim from readers, appreciated primarily for its practical approach and its depth of examples that can be replicated in Jupyter Notebook. Many reviewers praise it as a brilliant resource and often keep it on their desks, suggesting its relevance and utility in day-to-day financial analysis work. The book offers an engaging exploration of data-driven finance, targeting individuals with a foundational grasp of statistics and Python programming. However, reader feedback also highlights some limitations. The introductory chapters on Python are notably brief, making it less suitable for complete beginners looking to learn the language from scratch. Those with only a rudimentary understanding may find the book's quick treatment of Python concepts as problematic, particularly when navigating through complex financial simulations later in the text. Reviewers mention that while the book offers some innovative ideas, the lack of detailed explanations in certain sections can lead to confusion, especially for those not already well-versed in the subject matter. Some coding examples may require additional effort to fully comprehend, and the possibility for code misuse without clear guidance is a point of concern. Overall, while "Python for Finance 2e" is recognized for its practical applications and solid code examples that enhance its value, readers should approach it with prior knowledge of both finance and programming to make the most of its offerings. **
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Pros
- Highly practical with numerous examples for coding practice in Jupyter Notebook.
- Frequently recommended and Considered a staple resource among finance professionals.
- Engaging and informative content for those with a baseline understanding of Python and statistics.
Cons
- Brief coverage of Python may not suffice for complete beginners.
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HTG 10470
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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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