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235105476
Annotated Algorithms in Python: With Applications in Physics, Biology, and Finance (3rd Ed.)
85% of respondents would recommend this to a friend
Item #:
235105476
XOF 15961
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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
| Publisher | Independently published |
| Publication date | September 1, 2013 |
| Language | English |
| Print length | 384 pages |
| ISBN-13 | 979-8254871569 |
| Item Weight | 1.44 pounds (650 grams) |
| Dimensions | 6 x 0.87 x 9 inches (15.2 x 2.2 x 22.9 cm) |
Who Should Buy?
-
Students in STEM
Ideal for students studying physics, biology, or finance who need algorithmic programming insights in Python.
-
Professionals in Research
Helpful for researchers looking to implement algorithms in their projects or enhance their computational skills.
-
Self-learners
Beneficial for individuals seeking to learn Python algorithms independently with practical examples relevant to various fields.
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Beginners in Programming
Not suitable for absolute beginners who lack prior knowledge of programming concepts or Python basics.
Product Description
Annotated Algorithms in Python: With Applications in Physics, Biology, and Finance (3rd Ed.)
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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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