Learning NumPy Array
Supercharge your scientific Python computations by understanding how to use the NumPy library effectively
Published on 7. October 2025
164 pages
978-1-78398-391-9 (ISBN)
Description
Key Features
Book DescriptionA step-by-step guide, packed with examples of practical numerical analysis that will give you a comprehensive, but concise overview of NumPy. This book is for programmers, scientists, or engineers, who have basic Python knowledge and would like to be able to do numerical computations with Python.What you will learn
Install NumPy and discover its arrays and features
Perform data analysis and complex array operations with NumPy
Analyze time series and perform signal processing
Understand NumPy modules and explore the scientific Python ecosystem
Improve the performance of calculations with clean and efficient NumPy code
Analyze large data sets using statistical functions and execute complex linear algebra and mathematical computations
Who this book is for
Book DescriptionA step-by-step guide, packed with examples of practical numerical analysis that will give you a comprehensive, but concise overview of NumPy. This book is for programmers, scientists, or engineers, who have basic Python knowledge and would like to be able to do numerical computations with Python.What you will learn
Install NumPy and discover its arrays and features
Perform data analysis and complex array operations with NumPy
Analyze time series and perform signal processing
Understand NumPy modules and explore the scientific Python ecosystem
Improve the performance of calculations with clean and efficient NumPy code
Analyze large data sets using statistical functions and execute complex linear algebra and mathematical computations
Who this book is for
All prices
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
3,94 MB
ISBN-13
978-1-78398-391-9 (9781783983919)
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Other editions
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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
