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Scientific Computing with Python 3
Scientific Computing with Python 3

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

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Profile Icon Führer Profile Icon Claus Fuhrer Profile Icon Solem Profile Icon Verdier
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$19.99 per month
Full star icon Full star icon Full star icon Full star icon Empty star icon 4 (2 Ratings)
Paperback Dec 2016 332 pages 1st Edition
eBook
$38.99 $43.99
Paperback
$54.99
Subscription
Free Trial
Renews at $19.99p/m
Arrow left icon
Profile Icon Führer Profile Icon Claus Fuhrer Profile Icon Solem Profile Icon Verdier
Arrow right icon
$19.99 per month
Full star icon Full star icon Full star icon Full star icon Empty star icon 4 (2 Ratings)
Paperback Dec 2016 332 pages 1st Edition
eBook
$38.99 $43.99
Paperback
$54.99
Subscription
Free Trial
Renews at $19.99p/m
eBook
$38.99 $43.99
Paperback
$54.99
Subscription
Free Trial
Renews at $19.99p/m

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Scientific Computing with Python 3

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Key benefits

  • 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

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.

Who is this book 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.

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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Dec 23, 2016
Length: 332 pages
Edition : 1st
Language : English
ISBN-13 : 9781786463517
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Product Details

Publication date : Dec 23, 2016
Length: 332 pages
Edition : 1st
Language : English
ISBN-13 : 9781786463517
Category :
Languages :
Concepts :
Tools :

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Table of Contents

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

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
(2 Ratings)
5 star 0%
4 star 100%
3 star 0%
2 star 0%
1 star 0%
D. A. Robinson Jul 08, 2018
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
I have been using Python 2.7 on all my projects so far but decided to upgrade to Python 3 for all subsequent projects, and needed a text book to get to know where the important differences are. So far this seems an adequate tome for this task
Amazon Verified review Amazon
Tim Y Oct 14, 2021
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
This book can help you get started rapidly with using Python in scientific computation. It has detailed exposition on the basic syntax and data structures of Python. It also consists of advanced contents such as error handling, symbolic calculations and parallel computations. However, I wish it would focus more on numerical algorithms such as equation solving, matrix diagonalization, optimization, interpolation etc. Overall, it's a great book for those who are beginners in scientific computation with Python.
Amazon Verified review Amazon
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