Scientific Computing with Python 3

Learn to use Python for your computational needs using this example-rich, comprehensive guide

• Your ultimate guide to get up and running with numerical computations with Python
• Explore numerical computing and mathematical libraries in Python through this up-to-date guide with Python 3.x code with SciPy and NumPy modules.
• Get your concepts crystal clear to implement mathematics with Python using this hands-on guide

This book is for anyone who wants to perform numerical and mathematical computations in Python. You can be a developer, student, or anyone who wants to use Python for computation. A basic knowledge of scientific computing and mathematics is expected. No prior experience with Python is needed.

• Understand the principal syntactical elements of Python
• Get to know the most important and basic types in Python
• Understand one of 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
• Get to know in depth 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
• Focus on two aspects of testing for scientific programming: Manual and Automatic

Python is more than just a general-purpose programming language. It is a free, open source language and environment that has tremendous potential in the scientific computing domain. This book presents Python in tight connection with mathematical applications. You will learn how to use various concepts in Python for computing purposes. You will get familiar with the latest examples with Python 3.x. You will be introduced to Python as a strong tool to couple scientific computing and mathematics. This book will teach you all you need to know about Python and how to use it for linear algebra, arrays, plotting, iterating, functions, polynomials, and much more.