scholarly journals Smart Python Coding through Voice Recognition

2019 ◽  
Vol 8 (10) ◽  
pp. 3283-3285
Keyword(s):  
Programming Languages ◽  
Programming Language ◽  
Voice Recognition ◽  
Theoretical Knowledge ◽  
Development Environment ◽  
Integrated Development ◽  
New Learning ◽  
Novice Users ◽  
Python Programming ◽  
Recognition Technique

In today’s world, many artificial intelligence applications developed using programming languages like Python, R and so on. Each language comes with its own programming structure and syntactical forms. Programmers are broadly classified into three categories namely, novice users, knowledge intermittent and expert one. For novice users, it is always a challenge to write a code without typographic errors though users know theoretical knowledge of Programming language, its structure and syntax as well as logic of program. Therefore, this paper explores use of voice recognition technique in the field of programming, specifically for writing program with Python programming language. In experimental analysis, it found helpful for new Python programmers and provide new learning curve for programmers wherein beginner can experience hassle free program writing. This paper adds new way of creating interest in beginners for judging their coding paradigm understanding and explore one of the area for user experience field for better programming Integrated Development Environment Development (IDE).

Introduction to Python and Its Statistical Applications

2020 ◽  
pp. 162-196
Author(s):  
Siyu Shi
Keyword(s):  
Statistical Analysis ◽  
The Netherlands ◽  
Programming Languages ◽  
Programming Language ◽  
Integrated Development Environment ◽  
Development Environment ◽  
Integrated Development ◽  
Advantages And Disadvantages ◽  
The World ◽  
History Of

This chapter introduces the history of Python and its IDEs (integrated development environment) and code editors as developing environment. The history tells how Python started from ABC programming language in the Netherlands to a community with developers from different areas, and later became one of the most popular programming languages in the world. Popular IDEs and Code Editor for professional developers and beginners are also introduced with their advantages and disadvantages. Later in this chapter, the authors introduce Python libraries, which could be used in statistical analysis, and give out a simple case on how these methods can be applied.

scholarly journals Pembangunan Perangkat Lunak PuniEdit (Perangkat Lunak Editor untuk Multi Language Programming)

2019 ◽  
Author(s):  
Budiman
Keyword(s):  
Programming Languages ◽  
Programming Language ◽  
Source Code ◽  
Computer Software ◽  
Object Oriented ◽  
Object Oriented Programming ◽  
Text Editor ◽  
Development Environment ◽  
Integrated Development ◽  
High Level

During this period continued to develop computer software, programming language was no exception. At the start of the era of low level programming languages, then developed a high level programming language. It is characterized by the appearance of a method of programming offered by a programming language, that is, object-oriented programming (OOP). IDE (Integrated Development Environment) is a computer program that has some facilities that are required in the development of the software. The purpose of the IDEA is to provide all the necessary utilities in building software. As for the type of software text editor that can be used to manipulate the source code hereinafter referred to as the source code of programming languages such as Ultraedit, JediEdit, ClearEdit, cEdit, the Golden Pen, and so on. PuniEdit software is a text-based editor software that can simplify the user through correction, insertion, and modification of the source code. PuniEdit software is built using Borland Delphi 7.0 and SynEdit component. This software can be used for the Pascal programming language, C++ and HTML. In addition, the software PuniEdit can perform management of the token. This PuniEdit software, the user can clearly see every occurrence of the type of token as keywords (reserved word), identifier, operator, and so on.Keywords: Source code, programming language, source code is scanned.

scholarly journals Online Integrated Development Environment (IDE) in Supporting Computer Programming Learning Process during COVID-19 Pandemic: A Comparative Analysis

2020 ◽  
Vol 9 (2) ◽  
pp. 66-71
Author(s):  
Kartikadyota Kusumaningtyas ◽  
Eko Dwi Nugroho ◽  
Adri Priadana
Keyword(s):  
Comparative Analysis ◽  
Computer Programming ◽  
Learning Material ◽  
Integrated Development Environment ◽  
Development Environment ◽  
Integrated Development ◽  
Data Usage ◽  
Study Programs ◽  
Python Programming ◽  
User Friendly

COVID-19 has spread to various countries and affected many sectors, including education. New challenges arise in universities with study programs related to computer programming, which require a lot of practice. Difficulties encountered when students should setting up the environment needed to carry out programming practices. Furthermore, they should install a text editor called Integrated Development Environment (IDE) to support it. There is various online IDE that supports computer programming. However, students must have an internet connection to use it. After all, many students cannot afford to buy internet quotas to access online learning material during the COVID-19 pandemic. According to these problems, this study compares several online IDEs based on internet data usage and the necessary supporting libraries' availability. In this study, we only compared eleven online IDEs that support the Python programming language, free to access, and do not require logging in. Based on the comparative analysis, three online IDEs have most libraries supported. They are REPL.IT, CODECHEF, and IDEONE. Based on internet data usage, REPL.IT is an online IDE that requires the least transferred data. Moreover, this online IDE also has a user-friendly interface to place the left and right sides' code and output positions. It prevents the user from scrolling to see the results of the code that has been executed. The absence of advertisements also makes this online IDE a more focused appearance. Therefore, REPL.IT is highly recommended for users who have a limited internet quota, primarily to support the learning phase of computer programming during the COVID-19 pandemic.

scholarly journals Design and Implementation of an IDE for Learning Programming Languages Using a Gamification Service

2017 ◽  
pp. 295-308 ◽  
Author(s):  
José Carlos Paiva ◽  
José Paulo Leal ◽  
Ricardo Alexandre Peixoto de Queirós
Keyword(s):  
Programming Languages ◽  
Online Courses ◽  
Massive Open Online Courses ◽  
Development Environment ◽  
Integrated Development ◽  
Course Content ◽  
Single Sign On ◽  
Design And Implementation ◽  
Architecture And Design ◽  
Learning Programming

This chapter presents the architecture and design of Enki, an Integrated Development Environment (IDE) for learning programming languages on Massive Open Online Courses (MOOCs). This environment can be used as a tool by a Learning Management System (LMS) and a typical LMS such as Moodle can launch it using the Learning Tool Interoperability (LTI) API. Student authentication tokens are passed via LTI, thus integrating Enki in the single sign-on domain of the academic institution. The proposed tool has a web user interface similar to those of reference IDEs, where the learner has access to different integrated tools, from viewing tutorial videos, to solving programming exercises that are automatically evaluated. Enki uses several gamification strategies to engage learners, including generic gamifications services provided by Odin and the sequencing of educational resources. The course content (videos, PDFs, programming exercises) is progressively disclosed to the learner as he successfully completes exercises. This is similar to what happens in a game, where new levels are unlocked as the previous are completed, thus contributing to the sense of achievement.

scholarly journals Distributed Architecture for an Integrated Development Environment, Large Trace Analysis, and Visualization

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5560
Author(s):  
Yonni Chen Kuang Piao ◽  
Naser Ezzati-jivan ◽  
Michel R. Dagenais
Keyword(s):  
Programming Languages ◽  
Trace Analysis ◽  
Development Environment ◽  
Integrated Development ◽  
Resource Limitations ◽  
Execution Traces ◽  
Integrated Development Environments ◽  
Visualization Tools ◽  
Iot Devices ◽  
Server Architecture

Integrated development environments (IDEs) provide many useful tools such as a code editor, a compiler, and a debugger for creating software. These tools are highly sophisticated, and their development requires a significant effort. Traditionally, an IDE supports different programming languages via plugins that are not usually reusable in other IDEs. Given the high complexity and constant evolution of popular programming languages, such as C++ and even Java, the effort to update those plugins has become unbearable. Thus, recent work aims to modularize IDEs and reuse the existing parser implementation directly in compilers. However, when IDE debugging tools are insufficient at detecting performance defects in large and multithreaded systems, developers must use tracing and trace visualization tools in their software development process. Those tools are often standalone applications and do not interoperate with the new modular IDEs, thus losing the power and the benefits of many features provided by the IDE. The structure and use cases of tracing tools, with the potentially massive execution traces, significantly differ from the other tools in IDEs. Thus, it is a considerable challenge, one which has not been addressed previously, to integrate them into the new modular IDEs. In this paper, we propose an efficient modular client–server architecture for trace analysis and visualization that solves those problems. The proposed architecture is well suited for performance analysis on Internet of Things (IoT) devices, where resource limitations often prohibit data collection, processing, and visualization all on the same device. The experimental evaluation demonstrated that our proposed flexible and reusable solution is scalable and has a small acceptable performance overhead compared to the standalone approach.

Leveraging the Arduino Platform to Develop Information Technology Devices

2019 ◽  
pp. 90-105
Author(s):  
Diego Reforgiato Recupero ◽  
Valentino Artizzu ◽  
Francesca Cella ◽  
Alessandro Cotza ◽  
Davide Curcio ◽  
...  
Keyword(s):  
Information Technology ◽  
Computer Science ◽  
Computer Architecture ◽  
Open Source ◽  
Programming Language ◽  
Serial Communication ◽  
Universal Serial Bus ◽  
Development Environment ◽  
Integrated Development ◽  
The University

Arduino is a famous board, which incorporates serial communication interfaces, including universal serial bus (USB) and an integrated development environment (IDE) based on Processing, a programming language that supports C and C++. It consists of a microcontroller with several other components that provide easy interconnections with other devices. Arduino and its components have been studied during the class of Computer Architecture for the degree in Computer Science at the University of Cagliari in 2016. At the end of the class, seven groups of students have been selected and chosen to carry out a device prototype on top of Arduino and show their methodology, the sensors they embedded on top, how data could be extracted, collected, stored in database for further processing and analytics. The development has been performed following the open source best practices; documentation and codes of these projects have been made online for free downloading and sharing in order to further contribute to the advancement and widespread usage of the Arduino platform.

Computer Implementation of Genetic Programming

2018 ◽  
pp. 132-182
Keyword(s):  
Genetic Programming ◽  
Programming Languages ◽  
Programming Language ◽  
Object Oriented Programming ◽  
Computer Implementation ◽  
Classification Problems ◽  
Development Environment ◽  
Terminal Set ◽  
C Programming ◽  
Multiclass Classification Problems

This chapter presents the computer implementation of the tree-based genetic programming in C# programming language. Since C# is a common object-oriented programming language, with little modification the source code presented in the chapter can be easily transformed into Java or C++ programming languages. The chapter covers all aspects of the implementation: node, chromosome, population, function set, and terminal set class implementations. The chapter is carefully structured, so at the end of the chapter fully working GP computer program will be implemented which can solve regression and multiclass classification problems. The reader should not worry about specific operating system, or development environment, since all code implementations are based on cross-OS and open source integrated development environment visual studio code which can run on Windows, Mac, or Linux.

scholarly journals Development of a Fingerprint Lock Safe with Vibration Sensor

2021 ◽  
Vol 20 (1) ◽  
pp. 9-14
Author(s):  
Sabur Alim ◽  
Theophilus Eseyin
Keyword(s):  
User Interface ◽  
Programming Language ◽  
Low Cost ◽  
Vibration Sensor ◽  
Biometric Recognition ◽  
Development Environment ◽  
Integrated Development ◽  
C Programming Language ◽  
C Programming ◽  
High Level

Biometric recognition is a means of identification in which natural human endowment is used. Fingerprint, Iris, Face, DNA are examples of biometrics. Algorithms have been developed to recognize and identify each natural human endowment which in turn can be used to identify every human being. The aim of this study is to develop a safe which can only be accessed using Fingerprint with vibration sensor thereby improving the safety and security of traditional locks using key and padlock. This system ensures that only users whose fingerprint has been enrolled on the fingerprint sensor memory can access the Safe. Fingerprint Biometric among other biometrics can deliver high level of security which eradicates the need to remember PINs, passwords or the necessity of carrying keys/cards and identity proof. The system makes use of an Arduino UNO microcontroller which controls and connect the necessary hardware required for locking and unlocking the safe. The program running on the microcontroller was developed using Arduino Integrated Development Environment (IDE) with C programming language. The range of functionality of the system is wide, it is implemented with low cost hardware, simple user interface, high security reliability and theft alert are some of the major advantages of this project. It is intended that the fingerprint lock safe shall eventually replace the manual traditional methods used for personal safe keeping of properties that is common in Nigeria and hence provide practicable way for a better security.

scholarly journals A Pattern Recognition Model of Python Programming using Artificial Neural Network via NeMo

2020 ◽  
Vol 8 (5) ◽  
pp. 109-113
Keyword(s):  
Neural Network ◽  
Pattern Recognition ◽  
Programming Languages ◽  
Programming Language ◽  
High Performance ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Network Simulator ◽  
Source Codes ◽  
Python Programming

Background/Objectives: In the field of software development, the diversity of programming languages increases dramatically with the increase in their complexity. This leads both programmers and researchers to develop and investigate automated tools to distinguish these programming languages. Different efforts were conducted to achieve this task using keywords of source codes of these programming languages. Therefore, instead of using keywords classification for recognition, this work is conducted to investigate the ability to detect the pattern of a programming language characteristic by using NeMo(High-performance spiking neural network simulator) of neural network and testing the ability of this toolkit to provide detailed analyzable results. Methods/Statistical analysis: the method of achieving these objectives is by using a back propagation neural network via NeMo based on pattern recognition methodology. Findings: The results show that the NeMo neural network of pattern recognition can identify and recognize the pattern of python programming language with high accuracy. It also shows the ability of the NeMo toolkit to represent the analyzable results through a percentage of certainty. Improvements/Applications: it can be noticed from the results the ability of NeMo simulator to provide beneficial platform for studying and analyzing the complexity of the backpropagation neural network model.

MOBILE APPLICATIONS FOR THE ANDROID OPERATING SYSTEM: DEVELOPMENT TECHNOLOGIES

2021 ◽  
Author(s):  
Виктор Михайлович Красноусов ◽  
Леонид Вячеславович Букреев ◽  
Георигий Андреевивич Шпаковский ◽  
Евгений Романович Калюжный ◽  
Наталья Вячеславовна Зариковская
Keyword(s):  
Operating System ◽  
Programming Languages ◽  
Programming Language ◽  
Mobile Applications ◽  
System Development ◽  
Server Side ◽  
Python Programming Language ◽  
Android Platform ◽  
Android Operating System ◽  
Python Programming

В статье рассмотрены технологии, используемые для реализации мобильных приложений для платформы Android, на языке программирования Kotlin и архитектуры MVVM, а также реализации их серверной части на языке программирования Python. The article discusses technologies for implementing an application for the Android platform in the Kotlin and MVVM programming languages, as well as the implementation of the server side in the Python programming language.

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