Annotated Algorithms in Python: with Applications in Physics, Biology, and Finance
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Annotated Algorithms in Python: with Applications in Physics, Biology, and Finance
Core knowledge of numerical algorithms for scientists and students in computational finance.
Annotated Algorithms in Python: with Applications in Physics, Biology, and Finance
Nº de artículo: 235105476

Annotated Algorithms in Python: with Applications in Physics, Biology, and Finance

86% of respondents would recommend this to a friend

Nº de artículo: 235105476

NIO 886

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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.

Detalles de producto

Shop Annotated Algorithms in Python: with Applications in Physics, Biology, and Finance online at a best price in Nicaragua. B0F7JM5QNW
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 Weight1.5 lbs (680 grams)

DESCRIPCIÓN DEL PRODUCTO

Annotated Algorithms in Python: with Applications in Physics, Biology, and Finance

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Preguntas y respuestas de los clientes

  • Pregunta: Who is the target audience for this book?

    Respuesta: The book is designed for scientists interested in numerical algorithms and students in computational finance.
  • Pregunta: What topics does the book cover?

    Respuesta: It covers a range of topics including algorithm analysis, scientific computing, Monte Carlo simulations, and parallel algorithms.
  • Pregunta: Is this book suitable for beginners?

    Respuesta: While it includes foundational concepts, a basic understanding of algorithms and Python is beneficial for full comprehension.

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características y beneficios

  • 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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