Effective Computation in Physics: Field Guide to Research with Python
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Effective Computation in Physics: Field Guide to Research with Python
This practical book teaches essential software development skills to help you automate and accomplish nearly any aspect of research in a physics-based field
Effective Computation in Physics: Field Guide to Research with Python
منتج #: 18165452

Effective Computation in Physics: Field Guide to Research with Python

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منتج #: 18165452

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This practical book teaches essential software development skills to help you automate and accomplish nearly any aspect of research in a physics-based field
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Comprehensive Guide
Offers an extensive resource for researchers, merging physics principles with Python programming, ensuring users effectively utilize computational tools for diverse research applications.
Practical Examples
Includes real-world scenarios and hands-on projects, helping users easily apply theoretical knowledge through practical coding applications in physics research.
User-Friendly Approach
Designed for physicists at all levels, simplifying complex concepts and empowering readers with step-by-step guidance, making computational physics accessible and engaging.

تفاصيل المنتج

Discover the Field Guide to Research with Python in Physics. Written by Anthony Scopatz and Kathryn Huff, this book is a comprehensive resource for computational physics and software development. Get your copy now! Shop at Ubuy الاردن
  • Teaches essential software development skills for physicists
  • Uses the Python programming language
  • Covers topics like data analysis and visualization, storing data, and computing in parallel
  • Includes practical examples from physics concepts
  • Guides on building software, version control, and debugging
  • Provides tips on documentation, publishing findings, and collaboration
Publisher O'Reilly Media
Publication date August 4, 2015
Edition 1st
Language English
Print length 550 pages
ISBN-10 1491901535
ISBN-13 978-1491901533
Item Weight 2.05 pounds (930 grams)
Dimensions 7 x 1.25 x 9.19 inches (17.8 x 3.2 x 23.3 cm)

وصف المنتج

Effective Computation in Physics: Field Guide to Research with Python

About This Item

Discover the power of Python in the world of physics research with "Effective Computation in Physics: Field Guide to Research with Python 1st Edition." This comprehensive guidebook is designed to equip physicists with the tools and knowledge needed to effectively use Python for their research projects. Written by renowned computational physicist Anthony Scopatz and data scientist Kathryn Huff, this book is a result of their vast experience in the field. Anthony Scopatz is a computational physicist and Python developer who has published and spoken at numerous conferences on science and software development topics. Kathryn Huff is a Fellow with the Berkeley Institute for Data Science and has a Ph.D.

in Nuclear Engineering. With "Effective Computation in Physics," you'll learn how to harness the power of Python to solve complex physics problems, analyze and visualize data, perform simulations, and much more. This book provides step-by-step guidance and real-world examples, making it an invaluable resource for physics researchers looking to enhance their computational skills. Explore the chapters on essential physics modeling, information theory, and entropy to gain a deeper understanding of these fundamental concepts. Learn how to use Python libraries and tools specifically tailored for physics research, allowing you to streamline your workflow and save time. Whether you're a seasoned physicist or just starting your research journey, "Effective Computation in Physics" is a must-have companion.

Take advantage of the e-commerce solutions for physics and access an array of online physics resources all in one place. It's time to maximize your efficiency and unlock new opportunities for scientific discovery. Invest in your research success today with "Effective Computation in Physics: Field Guide to Research with Python 1st Edition." Join the growing community of scientists who are leveraging the power of Python for their physics projects. Order your copy now and take your physics research to new heights.

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أسئلة العملاء & الإجابات

  • سؤال: What are the four parts of the book?

    إجابه: The book is divided into four parts - Getting Started, Getting It Done, Getting It Right, and Getting It Out There.
  • سؤال: What skills can one develop from this book?

    إجابه: Development skills related to analysis and visualization, NumPy, storing data, computing in parallel, and deploying software can be developed from this book.
  • سؤال: Who is the book written by?

    إجابه: The book is written by two PHDs in nuclear engineering.

Software Development Editorial Review

"Effective Computation in Physics: Field Guide to Research with Python 1st Edition" is a recommended read for those who want to familiarize themselves with Python in a computational physics context, but it's not a real tutorial on Python and may leave readers wanting more depth. The book addresses the breadth of knowledge useful to those who work in scientific or engineering computation, but may also contain "bare-bones" sections that require further learning. However, the book is highly practical and recommended for a physicist's reference library. The digital version is colorful and contains color coded Python code, which is a plus. It is not recommended for those who want to learn Python without any physics or science background. The book has a brief section clarifying who it's not for; namely, those who have already been working as a software developer for several years and wish to move beyond the basics.

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إيجابيات

  • A practical book recommended as a staple in a physicist's reference library
  • Addresses the breadth of knowledge useful to those who work in scientific or engineering computation
  • Digital version contains color-coded Python code

سلبيات

  • Not a real tutorial on Python and may leave readers wanting more depth

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المميزات والفوائد

  • Learn essential software development skills
  • Automate and accomplish any aspect of research in a physics-based field
  • Use Python programming language to collect, analyze data, build software and publish your results
  • Develop skills related to analysis and visualization, NumPy, storing data, computing in parallel and deploying software
  • Document your code, publish your findings and collaborate efficiently

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