Idris Learning NumPy Array

Supercharge your scientific Python computations by understanding how to use the NumPy library effectively
1. Auflage 2025
ISBN: 978-1-78398-391-9
Verlag: De Gruyter
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 164 Seiten

Key FeaturesBook 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

Autoren/Hrsg.

Idris, Ivan

Fachgebiete

• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein

Über Autor(innen)

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.