---
product_id: 13726010
title: "Computational Physics"
brand: "mark newman"
price: "R1732"
currency: ZAR
in_stock: true
reviews_count: 8
url: https://www.desertcart.co.za/products/13726010-computational-physics
store_origin: ZA
region: South Africa
---

# Computational Physics

**Brand:** mark newman
**Price:** R1732
**Availability:** ✅ In Stock

## Quick Answers

- **What is this?** Computational Physics by mark newman
- **How much does it cost?** R1732 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.co.za](https://www.desertcart.co.za/products/13726010-computational-physics)

## Best For

- mark newman enthusiasts

## Why This Product

- Trusted mark newman brand quality
- Free international shipping included
- Worldwide delivery with tracking
- 15-day hassle-free returns

## Description

Full description not available

## Images

![Computational Physics - Image 1](https://m.media-amazon.com/images/I/61pLjFqaEIS.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Great Introduction
*by N***E on January 29, 2022*

I studied computer science and physics at university, and I'm happy to say this is an excellent text if you're interested in learning about one interesting cross-disciplinary intersection between the two. The book uses Python 3, and most of the sample code uses non-deprecated dependencies (most of the expired packages are in matplotlib).I found it guided me along just well enough so that I could complete most exercises without any high level of hand holding (some of the exercises can be done as mild alterations to the examples). While there are plenty of scientific computing packages out there that will do almost all of the behind-the-scenes heavy lifting for you, this book isn't about using them -- instead, it dives deep into the numerical computing methods often used by those same packages.There's plenty of example programs to step you through the exercises. Also, if you have very little programming experience, the first chapter is committed to getting you caught up to speed, but if I'd have to recommend having at least some experience with programming before tackling this (a single introductory uni course, or some time with self-instruction learning python or some other language should be enough).Topics include Visualization, Accuracy and Speed, Integrals and Derivatives, Solving Linear/Non-Linear Equations, Fourier Transforms, ODEs, PDEs, and Monte Carlo/Random Methods.

### ⭐⭐⭐⭐⭐ It gives a very good introduction to the Python language and how to apply ...
*by C***S on December 17, 2016*

This is an incredible book for a first timer. It gives a very good introduction to the Python language and how to apply aspects of it to solving Physics problems.There are a few minor issues with the book (Not worth rating it lower than 5 stars). Dr. Newman will introduce libraries and not explain some of them, such as gaussxw. These are usually libraries and functions on the book website. However, there is no reference to it in the book when introduced. Minor oversite. Another issue is that there are parts of the book where it appears he didn't pay attention to which values he was using.These are types of issues that I am sure will be fixed in later editions. Overall this is an incredible book. I picked up this book to see what it had to say. It has taught me things that I did not know. I love that!

### ⭐⭐⭐⭐⭐ Just buy it now
*by S***T on March 9, 2015*

I'm a novice Python programmer, but yet I find this book very accessible, well-structured, clearly written, and comprehensive. I am only about halfway through this book but feel that it has really helped me learn both Python programming and solid numerical analysis skills. My only warning is that without a strong physics background the examples and problems may be a bit opaque, but with a strong physics background this book does an excellent job of connecting the physics with computational techniques.

## Frequently Bought Together

- Computational Physics
- Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition
- Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python

---

## Why Shop on Desertcart?

- 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016
- 🌍 **Shop Globally** — Access 737+ million products across 21 categories
- 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price
- 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members)
- 🔒 **Secure Payments** — Trusted payment options with buyer protection
- ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews

**Shop now:** [https://www.desertcart.co.za/products/13726010-computational-physics](https://www.desertcart.co.za/products/13726010-computational-physics)

---

*Product available on Desertcart South Africa*
*Store origin: ZA*
*Last updated: 2026-03-03*