Kniha Scientific Computing with Python 3 Claus Führer

Scientific Computing with Python 3

Jazyk: Angličtina
Vazba: Brožovaná
Dostupnost: Skladem u dodavatele
Odesíláme za 9-15 dnů
1 257
An example-rich, comprehensive guide for all of your Python computational needsKey Features Your ult...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2016
Stránek
332
EAN
9781786463517
ISBN
1786463512
Enbook ID
16050570
Hmotnost
646
Rozměry
237 x 194 x 22

Kompletní popis

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.

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