Python to learn programming

Bogdanchikov, Andrey; Zhaparov, Meirambek; Suliyev, R

doi:10.1088/1742-6596/423/1/012027

Cited by 34 publications

(17 citation statements)

References 4 publications

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“…They investigated several techniques for improving computational efficiencies of serial Python codes and discussed basic programming techniques for parallelizing serial scientific applications. In Bogdanchikov et al (2013), they suggested Python usage for teaching programming to novice students, because it is the programming language that has neatly organized syntax and powerful tools to solve any task. They gave some examples of program codes written in Java, Cþþ and Python, and made comparisons between them.…”

Section: Related Work In Literaturementioning

confidence: 99%

Value trace problems with assisting references for Python programming self-study

Shwe

Funabiki

Syaifudin

et al. 2021

IJWIS

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Purpose This study aims to present the value trace problem (VTP) for Python programming self-study, by extending the works for Java programming learning assistant system. In total, 130 VTP instances are generated using Python codes in textbooks and websites that cover basic/advanced grammar topics, fundamental data structures and algorithms and two common library usages. Besides, assisting references on Python programming topics related to the VTP instances are introduced to assist novice learners in solving them efficiently. Design/methodology/approach PyPLAS offers the VTP to study grammar topics and library usage through code reading. A VTP instance asks a learner to trace the actual values of important variables or output messages in the given source code. The correctness of any answer is checked through string matching. Findings The applications to 48 undergraduate students in Myanmar and Indonesia confirm the validity of the proposal in Python programming self-studies by novice learners. Originality/value The applications to 48 undergraduate students in Myanmar and Indonesia confirm the validity of the proposal in Python programming self-studies by novice learners.

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Section: Related Work In Literaturementioning

confidence: 99%

Value trace problems with assisting references for Python programming self-study

Shwe

Funabiki

Syaifudin

et al. 2021

IJWIS

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“…Before a programmer can use a class, it has to be instantiated [17]. It is through this process that an object gets created from a class.…”

Section: Rulementioning

confidence: 99%

Studies in object-oriented programming backbone implementations

Eze¹,

Okunbor²,

Chukwudum³

2021

Global Journal of Engineering and Technology Advances

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This work is a combination of conceptual and hands on based study aimed at laying a foundation for practical Object-Oriented software construction. First it presents a conceptual study of a number of backbone concepts of modern Object-Oriented Programming (OOP) languages. Secondly, it attempts to demonstrate real-life implementations of these concepts using Python Programming Language. This work touches on practical issues on Class and Object Creation, especially on the syntax and creation, and demystifies the subject matter using a simple table of rules. The OOP concept of Inheritance was studied, with focus on the three major types of inheritance. The self-argument, and constructors were studied, with focus on the three constructors - default, parameterized, and non-parameterized constructors. A brief discussion, and pictorial illustration was also made on the disparity between normal mathematical functions and OOP method calls. Further areas of studies are the concept of overriding between the parent and child class, as well as the OOP puzzle commonly known as Diamond Problem, including code segment and diagrammatic illustration of Python-based solutions. There are a number of other back-bone concepts in OOP not covered in this study, such as Encapsulation, Abstraction, Meta-Programming, among others, which will form areas of focus in future studies. Effort was made to enhance the overall presentation through practical illustrations using source codes, annotated diagrams, and discussions. It is hoped that this work will be very useful to researchers and other practitioners in Object Oriented implementations.

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“…Python and Ruby are two ground-breaking open source programming [1] [3] dialects today. Python is an elegant high level programming [7]19] language with the OOPS concept and broadly used prominent programming language utilized nowadays [38]. It was developed by Guido-Van-Rossom in twentieth February1991 (Labeled variant is 0.9.0) [6], [23].…”

Section: Introductionmentioning

confidence: 99%

A Correlative Scrutiny on two Programming Dialects: RUBY Vs PYTHON

Chandran,

Abraham

2020

IJEAT

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The two most dominant rising programming dialects in reality, Ruby and Python have many features in common. High-level object-oriented coding, interactive shell, standard libraries, persistence support are some of the common features of Python and Ruby. However, both vary in their approach to solve problems because of their syntax and uses. Power of a language is based on the libraries and popularity defines the frameworks that have been used. This research paper primarily focuses on the frameworks and libraries of Ruby and Python. Ruby on Rails is one of the most powerful framework of Ruby and Django for python. Python is used for many purposes beyond web development such as data science and machine learning computations. A spike in popularity is seen for both Ruby and Python but still the question of “which to be opted” for developing an application becomes a query most of the times. Hence, this research scrutinizes both Ruby and Python in terms of framework and libraries.

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Python to learn programming

Cited by 34 publications

References 4 publications

Value trace problems with assisting references for Python programming self-study

Value trace problems with assisting references for Python programming self-study

Studies in object-oriented programming backbone implementations

A Correlative Scrutiny on two Programming Dialects: RUBY Vs PYTHON

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