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235105476
Annotated Algorithms in Python: with Applications in Physics, Biology, and Finance
85% of respondents would recommend this to a friend
Item #:
235105476
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Core knowledge of numerical algorithms for scientists and students in computational finance.
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What Stands Out
Comprehensive Coverage
This edition provides extensive algorithms applicable in diverse fields such as physics, biology, and finance, ensuring readers grasp core concepts and practical applications relevant to their discipline.
Clear Annotations
Detailed annotations throughout the book enhance understanding, guiding readers step-by-step through complex algorithms, making the learning process smoother and more accessible for beginners and experts alike.
Real-World Applications
Featuring real-world applications, this book equips readers with the skills to implement algorithms effectively, preparing them for challenges in scientific and financial domains, setting it apart from standard algorithm texts.
Product Details
| Publication date | April 4, 2026 |
| Edition | 3rd |
| Language | English |
| File size | 3.1 MB |
| Screen Reader | Supported |
| Enhanced typesetting | Enabled |
| X-Ray | Not Enabled |
| Word Wise | Not Enabled |
| Print length | 474 pages |
| ISBN-13 | 978-0991160402 |
| Page Flip | Enabled |
| Item Weight | 1.5 lbs (680 grams) |
Product Description
Annotated Algorithms in Python: with Applications in Physics, Biology, and Finance
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Customer Questions & Answers
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Question:
Who is the target audience for this book?
Answer: The book is designed for scientists interested in numerical algorithms and students in computational finance. -
Question:
What topics does the book cover?
Answer: It covers a range of topics including algorithm analysis, scientific computing, Monte Carlo simulations, and parallel algorithms. -
Question:
Is this book suitable for beginners?
Answer: While it includes foundational concepts, a basic understanding of algorithms and Python is beneficial for full comprehension.
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Features & Benefits
- Comprehensive insights from 10 years of lectures.
- Covers essential algorithms in Python.
- Applications in physics, biology, and finance.
- Ideal for scientists and computational finance students.
- Includes topics on Monte Carlo simulations and parallel algorithms.
- Perfect resource for understanding scientific computing.
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