On parallel software engineering education using python

Python is gaining popularity in academia as the preferred language to teach novices serial programming. The syntax of Python is clean, easy, and simple to understand. At the same time, it is a high-level programming language that supports multi programming paradigms such as imperative, functional, a...

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Vydáno v:Education and information technologies Ročník 23; číslo 1; s. 357 - 372
Hlavní autor: Marowka, Ami
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Springer US 01.01.2018
Springer
Springer Nature B.V
Témata:
Algorithms
Barriers
Computation
Computer Appl. in Social and Behavioral Sciences
Computer Science
Computer Science Education
Computer Software
Computers and Education
Departments
Education
Educational Benefits
Educational Technology
Engineering Education
Engineering schools
Information Systems Applications (incl.Internet)
Introductory Courses
Language of Instruction
Libraries
Memory
Monte Carlo Methods
MOOCs
Novices
Programming Languages
Sampling
Science Education
Science Instruction
Software engineering
Syntax
Technology education
Time
User Interfaces and Human Computer Interaction
World Problems
Teaching parallel programming
Computer science education
Python
ISSN:1360-2357, 1573-7608
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Popis
Shrnutí:Python is gaining popularity in academia as the preferred language to teach novices serial programming. The syntax of Python is clean, easy, and simple to understand. At the same time, it is a high-level programming language that supports multi programming paradigms such as imperative, functional, and object-oriented. Therefore, by default, it is almost obvious to believe that Python is also the appropriate language for teaching parallel programming paradigms. This paper presents an in-depth study that examines to what extent Python language is suitable for teaching parallel programming to inexperienced students. The findings show that Python has stumbling blocks that prevent it from preserving its advantages when shifting from serial programming to parallel programming. Therefore, choosing Python as the first language for teaching parallel programming calls for strong justifications, especially when better solutions exist in the community.
Bibliografie:ObjectType-Article-1
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ISSN:1360-2357
1573-7608
DOI:10.1007/s10639-017-9607-0