Introduction to Scientific Programming with Python (Simula SpringerBriefs on Computing Book 6)

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.

ASIN ‏ : ‎ B08C7GNS3N
Publisher ‏ : ‎ Springer
Accessibility ‏ : ‎ Learn more
Publication date ‏ : ‎ 1 July 2020
Edition ‏ : ‎ 1st ed. 2020
Language ‏ : ‎ English
File size ‏ : ‎ 3.8 MB
Enhanced typesetting ‏ : ‎ Not Enabled
X-Ray for textbooks ‏ : ‎ Enabled
Word Wise ‏ : ‎ Not Enabled
Print length ‏ : ‎ 156 pages
Format ‏ : ‎ Print Replica
ISBN-13 ‏ : ‎ 978-3030503567
Page Flip ‏ : ‎ Not Enabled
Part of series ‏ : ‎ Simula SpringerBriefs on Computing
Best Sellers Rank: #1,997 Free in Kindle Store (See Top 100 in Kindle Store) #2 in Software Design & Engineering eTextbooks #2 in Programming Languages eTextbooks #8 in Computer Programming eBooks
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