Introduction to Scientific Programming with Python

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Éditeur :

Springer


Collection :

Simula SpringerBriefs on Computing

Paru le : 2020-07-01

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Description

This open access book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and example-based, making it suitable for students and researchers with little or no prior experience in programming.

The book uses relevant examples from mathematics and the natural sciences to present programming as a practical toolbox that can quickly enable readers to write their own programs for data processing and mathematical modeling. These tools include file reading, plotting, simple text analysis, and using NumPy for numerical computations, which are fundamental building blocks of all programs in data science and computational science. At the same time, readers are introduced to the fundamental concepts of programming, including variables, functions, loops, classes, and object-oriented programming. Accordingly, the book provides a sound basis for further computer science and programming studies.
 

 
Pages
148 pages
Collection
Simula SpringerBriefs on Computing
Parution
2020-07-01
Marque
Springer
EAN papier
9783030503550
EAN PDF
9783030503567

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
14
Taille du fichier
1864 Ko
Prix
0,00 €