Numpy Beginner's Guide (Update)
Build efficient, high-speed programs using the high-performance NumPy mathematical library
Published on 8. July 2025
348 pages
978-1-78528-883-8 (ISBN)
Description
Key Features
Book DescriptionThis book is for the scientists, engineers, programmers, or analysts looking for a high-quality, open source mathematical library. Knowledge of Python is assumed. Also, some affinity, or at least interest, in mathematics and statistics is required. However, I have provided brief explanations and pointers to learning resources.What you will learn
Install NumPy, matplotlib, SciPy, and IPython on various operating systems
Use NumPy array objects to perform array operations
Familiarize yourself with commonly used NumPy functions
Use NumPy matrices for matrix algebra
Work with the NumPy modules to perform various algebraic operations
Test NumPy code with the numpy.testing module
Plot simple plots, subplots, histograms, and more with matplotlib
Who this book is forThis book is for the scientists, engineers, programmers, or analysts looking for a high-quality, open source mathematical library. Knowledge of Python is assumed. Also, some affinity, or at least interest, in mathematics and statistics is required. However, I have provided brief explanations and pointers to learning resources.
Book DescriptionThis book is for the scientists, engineers, programmers, or analysts looking for a high-quality, open source mathematical library. Knowledge of Python is assumed. Also, some affinity, or at least interest, in mathematics and statistics is required. However, I have provided brief explanations and pointers to learning resources.What you will learn
Install NumPy, matplotlib, SciPy, and IPython on various operating systems
Use NumPy array objects to perform array operations
Familiarize yourself with commonly used NumPy functions
Use NumPy matrices for matrix algebra
Work with the NumPy modules to perform various algebraic operations
Test NumPy code with the numpy.testing module
Plot simple plots, subplots, histograms, and more with matplotlib
Who this book is forThis book is for the scientists, engineers, programmers, or analysts looking for a high-quality, open source mathematical library. Knowledge of Python is assumed. Also, some affinity, or at least interest, in mathematics and statistics is required. However, I have provided brief explanations and pointers to learning resources.
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More details
Edition
Digital original
Language
English
Place of publication
Birmingham
United Kingdom
Target group
Professional and scholarly
US School Grade: College Graduate Student
Edition type
Digital original
File size
5,60 MB
ISBN-13
978-1-78528-883-8 (9781785288838)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Ivan Idris
Numpy Beginner's Guide - Third Edition
Book
06/2015
Packt Publishing
€56.50
Shipment within 3-4 weeks
Person
Idris Ivan :
Ivan Idris has an MSc in experimental physics. His graduation thesis had a strong emphasis on applied computer science. After graduating, he worked for several companies as a Java developer, data warehouse developer, and QA analyst. His main professional interests are business intelligence, big data, and cloud computing. Ivan Idris enjoys writing clean, testable code and interesting technical articles. Ivan Idris is the author of NumPy 1.5. Beginner's Guide and NumPy Cookbook by Packt Publishing.
Ivan Idris has an MSc in experimental physics. His graduation thesis had a strong emphasis on applied computer science. After graduating, he worked for several companies as a Java developer, data warehouse developer, and QA analyst. His main professional interests are business intelligence, big data, and cloud computing. Ivan Idris enjoys writing clean, testable code and interesting technical articles. Ivan Idris is the author of NumPy 1.5. Beginner's Guide and NumPy Cookbook by Packt Publishing.
Content
Table of Contents
NumPy and Python Quick Start
Beginning with NumPy Fundamentals
Understanding Commonly Used Functions
Convenience Functions for Your Convenience
Working with Matrices and ufuncs
Moving Further with NumPy Modules
Peeking into Special Routines
Assuring Quality with Testing
Plotting with Matplotlib
When NumPy is Not Enough ? SciPy and Beyond
Playing with Pygame
Appendix A
Appendix B
Appendix C
NumPy and Python Quick Start
Beginning with NumPy Fundamentals
Understanding Commonly Used Functions
Convenience Functions for Your Convenience
Working with Matrices and ufuncs
Moving Further with NumPy Modules
Peeking into Special Routines
Assuring Quality with Testing
Plotting with Matplotlib
When NumPy is Not Enough ? SciPy and Beyond
Playing with Pygame
Appendix A
Appendix B
Appendix C
