Scientific Computing with Python 3 | An example-rich, comprehensive guide for all of your Python computational needs

Claus Führer (u. a.)

ISBN 10: 1786463512 / ISBN 13: 9781786463517

Verlag: Packt Publishing, 2016

Scientific Computing with Python 3 | An example-rich, comprehensive guide for all of your Python computational needs | Claus Führer (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2016 | Packt Publishing | EAN 9781786463517 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 108554440

Inhaltsangabe:

An example-rich, comprehensive guide for all of your Python computational needs

Key Features

• Your ultimate resource for getting up and running with Python numerical computations
• Explore numerical computing and mathematical libraries using Python 3.x code with SciPy and NumPy modules
• A hands-on guide to implementing mathematics with Python, with complete coverage of all the key concepts

Book Description

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

Who this book is for

This book is for anyone who wants to perform numerical and mathematical computations in Python. It is especially useful for developers, students, and anyone who wants to use Python for computation. Readers are expected to possess basic a knowledge of scientific computing and mathematics, but no prior experience with Python is needed.

Über die Autorin bzw. den Autor: 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.

Bibliografische Details

Titel: Scientific Computing with Python 3 | An ...
Verlag: Packt Publishing
Erscheinungsdatum: 2016
Einband: Taschenbuch
Zustand: Neu