Programming for Computations - Python: A Gentle Introduction to Numerical Simulations with Python 3.6 Texts in Computational Science and Engineering, 15 Second Edition 2020
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Programming for Computations - Python: A Gentle Introduction to Numerical Simulations with Python 3.6 Texts in Computational Science and Engineering, 15 Second Edition 2020
Programming for Computations - Python: A Gentle Introduction to Numerical Simulations with Python 3.6 Texts in Computational Science and Engineering, 15 Second Edition 2020
Numéro d'article: 32487120

Programming for Computations - Python: A Gentle Introduction to Numerical Simulations with Python 3.6 Texts in Computational Science and Engineering,

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Numéro d'article: 32487120

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Ce qui se démarque

Gentle Introduction
Designed for beginners, this book simplifies complex concepts of numerical simulations, making Python programming accessible to all, regardless of prior experience in programming or computational sciences.
Updated Content
The second edition includes the latest Python 3.6 features and improvements, ensuring that readers are equipped with current tools and practices for effective numerical simulations in various fields.
Hands-On Approach
Focusing on practical applications, this book encourages a hands-on learning experience through numerous examples and exercises, empowering readers to apply theoretical knowledge to solve real-world computational problems.

Détails du produit

Shop Programming for Computations - Python: A Gentle Introduction to Numerical Simulations with Python 3.6 Texts in Computational Science and Engineering, 15 Second Edition 2020 online at a best price in Belgium. 303016876X
Publisher Springer
Publication date November 11, 2019
Edition Second Edition 2020
Language English
Print length 355 pages
ISBN-10 303016876X
ISBN-13 978-3030168766
Item Weight 1.7 pounds (770 grams)
Dimensions 7 x 1 x 10 inches (17.8 x 2.5 x 25.4 cm)
Part of series Texts in Computational Science and Engineering

À qui est-ce destiné ?

Suitable For
  • Beginner Programmers

    Ideal for individuals new to programming, providing gentle introduction to Python and numerical simulations without overwhelming complexity.

  • Students in Science

    Highly beneficial for students in scientific fields seeking to apply numerical simulations in practical scenarios using Python.

  • Self-learners

    Great for those who prefer self-study; the structured approach helps build understanding incrementally.

Not Suitable For
  • Advanced Programmers

    Experienced developers may find the content too basic, lacking the depth required for advanced computational programming.

DESCRIPTION DU PRODUIT

Programming for Computations - Python: A Gentle Introduction to Numerical Simulations with Python 3.6 Texts in Computational Science and Engineering, 15 Second Edition 2020

Vous avez une question ? Chattez avec nous

Questions et réponses des clients

  • question: What topics are covered in 'Programming for Computations - Python'?

    répondre: This book provides a comprehensive overview of numerical simulations using Python 3.6. It introduces the fundamentals of programming concepts, focusing on essential topics such as numerical methods, data visualization, and algorithm design. The content is geared towards students and professionals in computational science and engineering, helping them utilize Python for solving real-world mathematical problems and scientific computing tasks.
  • question: Who is the target audience for this book?

    répondre: The book is primarily aimed at students and early-career professionals in various fields of science, engineering, and applied mathematics. It is also beneficial for anyone looking to strengthen their programming skills in Python, particularly those interested in numerical simulations. The accessible writing style makes it suitable for readers with minimal programming experience, enabling them to grasp both basic and advanced concepts in computational methods.
  • question: What programming skills do I need before reading this book?

    répondre: Prior knowledge of Python programming basics is helpful but not mandatory. Familiarity with foundational concepts like variables, control structures (loops and conditionals), and functions will enhance your understanding. The book includes practical examples and coding exercises, making it suitable for both novices and those looking to cement their programming skills while exploring numerical simulations.
  • question: Does the book include coding exercises and examples?

    répondre: Yes, 'Programming for Computations - Python' is designed with numerous coding examples and exercises. Each chapter incorporates practical problems that challenge readers to apply what they've learned. This hands-on approach reinforces learning by allowing readers to experiment with code and explore outcomes, which is crucial for mastering complex concepts in numerical computation.
  • question: Can this book help me with my computational project work?

    répondre: Absolutely! The book equips you with essential programming techniques and methodologies necessary for tackling computational projects. It covers various applications in engineering and science, facilitating the understanding of how to implement algorithms and numerical methods in practical scenarios. Whether you're working on simulations, data analysis, or modeling, the skills acquired from this book will be invaluable.
  • question: What numerical methods are discussed in the text?

    répondre: The text delves into a variety of numerical methods, including but not limited to, root-finding algorithms, numerical integration and differentiation, linear algebra techniques, and methods for solving ordinary differential equations. These methods are crucial for anyone engaged in computational modeling and simulations, as they provide the foundational tools required to analyze complex systems and datasets effectively.
  • question: How does this book compare to other programming books?

    répondre: Unlike many programming books that focus purely on syntax and theory, 'Programming for Computations - Python' takes a practical approach, emphasizing applications in numerical simulations. It bridges the gap between abstract programming concepts and real-world computational tasks, making it a standout resource for those specifically interested in scientific computing and simulation development.
  • question: Is this book suitable for self-study?

    répondre: Yes, this book is particularly well-suited for self-study purposes. The clear explanations and structured chapters guide readers through progressively challenging topics, promoting independent learning. Additionally, the exercises at the end of each chapter provide opportunities for readers to test their understanding and reinforce their programming skills, making it an excellent choice for self-learners.
  • question: Where can I buy 'Programming for Computations - Python' in Belgium?

    répondre: You can purchase 'Programming for Computations - Python: A Gentle Introduction to Numerical Simulations with Python 3.6' from Ubuy in Belgium. Ubuy offers a convenient platform for ordering a wide range of books, including specialized texts, ensuring you'll find this valuable resource with ease.
  • question: Are there any prerequisites for understanding the content?

    répondre: While a background in basic programming is advantageous, the book is structured to support readers with varying levels of experience. A foundational understanding of mathematics, particularly calculus and linear algebra, will enhance your grasp of the numerical methods discussed. The book is designed to build from basic concepts to more complex applications, catering to both beginners and those looking to refine their skills.

Algorithms Editorial Review

The "Programming for Computations Python" book has received a mix of positive and negative feedback. Some customers found it to be very informative and easy to follow, providing great detail and practical samples. They appreciated its applicability and its ability to make a difficult subject easy to understand. On the other hand, there was a critical review stating that the book felt like it went nowhere. Overall, the book seems to have resonated positively with a number of readers who found it helpful for understanding numerical simulations with Python. It is praised for its practical approach and comprehensive content.

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Avantages

  • Informative and easy to follow
  • Practical samples and application
  • Makes a difficult subject easy to understand

Les inconvénients

  • Some readers found it lacking in direction

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