Scientific Computing with Python 3, 2nd Edition

Python can be used for more than just general-purpose programming. It is a free, open source language and environment that has tremendous potential for use within the domain of scientific computing. This book presents Python in tight connection with mathematical applications and demonstrates how to use various concepts in Python for computing purposes, including examples with the latest version of Python 3. Python is an effective tool to use when coupling scientific computing and mathematics and this book will teach you how to use it for linear algebra, arrays, plotting, iterating, functions, polynomials, and much more.

What You Will Learn

• The principal syntactical elements of Python
• The most important and basic types in Python
• The essential building blocks of computational mathematics, linear algebra, and related Python objects
• Plot in Python using matplotlib to create high quality figures and graphics to draw and visualize your results
• Define and use functions and learn to treat them as objects
• How and when to correctly apply object-oriented programming for scientific computing in Python
• Handle exceptions, which are an important part of writing reliable and usable code
• Two aspects of testing for scientific programming: Manual and Automatic

Authors

Claus Führer

Claus Führer is a professor of scientific computations at Lund University, Sweden. He has an extensive teaching record that includes intensive programming courses in numerical analysis and engineering mathematics across various levels in many different countries and teaching environments. Claus also develops numerical software in research collaboration with industry and received Lund University’s Faculty of Engineering Best Teacher Award in 2016.

Jan Erik Solem

Jan Erik Solem is a Python enthusiast, former associate professor, and currently the CEO of Mapillary, a street imagery computer vision company. He has previously worked as a face recognition expert, founder and CTO of Polar Rose, and computer vision team leader at Apple. Jan is a World Economic Forum technology pioneer and won the Best Nordic Thesis Award 2005-2006 for his dissertation on image analysis and pattern recognition. He is also the author of “Programming Computer Vision with Python” (O’Reilly 2012).

Table of Contents

Chapter 1. Getting Started
Chapter 2. Variables and Basic Types
Chapter 3. Container Types
Chapter 4. Linear Algebra – Arrays
Chapter 5. Advanced Array Concepts
Chapter 6. Plotting
Chapter 7. Functions
Chapter 8. Classes
Chapter 9. Iterating
Chapter 10. Error Handling
Chapter 11. Namespaces, Scopes, and Modules
Chapter 12. Input and Output
Chapter 13. Testing
Chapter 14. Comprehensive Examples
Chapter 15. Symbolic Computations – SymPy