Amazon cover image
Image from Amazon.com

Introduction to Scientific Programming with Python [electronic resource] / by Joakim Sundnes.

By: Sundnes, Joakim [author.]Contributor(s): SpringerLink (Online service)Material type: TextTextSeries: Simula SpringerBriefs on Computing ; 6Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020Description: XIV, 148 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783030503567Subject(s): Computer mathematics | Computer software | Computer programming | Software engineering | Computer science-Mathematics | Computational Science and Engineering | Professional Computing | Programming Techniques | Software Engineering/Programming and Operating Systems | Mathematics of ComputingAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 004 LOC classification: QA71-90Online resources: Click here to access online
Contents:
Getting started with Python -- Computing with formulas -- Loops and lists -- Functions and branching -- User input and error handling -- Arrays and plotting -- Dictionaries and strings -- Classes -- Object-oriented programming.
In: Springer Nature eBookSummary: 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.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library

Electronic Book@IST

EBook Available
Total holds: 0

Getting started with Python -- Computing with formulas -- Loops and lists -- Functions and branching -- User input and error handling -- Arrays and plotting -- Dictionaries and strings -- Classes -- Object-oriented programming.

Open Access

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.

Powered by Koha