
Title


A Student's Guide to Python for Physical Modeling,New
Delivery time: 8-12 business days (International)
Python is a computer programming language that is rapidly gaining popularity throughout the sciences. A Student's Guide to Python for Physical Modeling aims to help you, the student, teach yourself enough of the Python programming language to get started with physical modeling. You will learn how to install an opensource Python programming environment and use it to accomplish many common scientific computing tasks: importing, exporting, and visualizing data; numerical analysis; and simulation. No prior programming experience is assumed.This tutorial focuses on fundamentals and introduces a wide range of useful techniques, including:Basic Python programming and scripting Numerical arrays Two and threedimensional graphics Monte Carlo simulations Numerical methods, including solving ordinary differential equations Image processing AnimationNumerous code samples and exerciseswith solutionsillustrate new ideas as they are introduced. Webbased resources also accompany this guide and include code samples, data sets, and more.
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⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
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Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Your payment information is processed securely. We do not store credit card details nor have access to your credit card information.
We accept payments with :
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Frequently Asked Questions
- Q: What is 'A Student's Guide to Python for Physical Modeling' about? A: This book aims to teach students the fundamentals of Python programming, specifically for applications in physical modeling. It covers installation of Python, data visualization, numerical analysis, and simulations.
- Q: Do I need prior programming experience to use this book? A: No, the book assumes no prior programming experience, making it suitable for beginners.
- Q: What topics are covered in this guide? A: The guide covers basic Python programming, numerical arrays, graphics, Monte Carlo simulations, numerical methods, image processing, and animation.
- Q: How many pages does this book have? A: The book has 160 pages.
- Q: Who is the author of this book? A: The author is Jesse M. Kinder.
- Q: When was this book published? A: It was published on September 22, 2015.
- Q: What is the binding type of this book? A: The book is available in paperback binding.
- Q: Are there exercises included in the book? A: Yes, the book includes numerous code samples and exercises with solutions to help reinforce learning.
- Q: What resources are available online with this guide? A: Web-based resources accompany the guide, including additional code samples, data sets, and other materials.
- Q: Is this book suitable for advanced programmers? A: While it is designed for beginners, advanced programmers may find the introductory material useful for a refresher or teaching purposes.