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.

MOBILE APPLICATIONS FOR THE IOS OPERATING SYSTEM: DEVELOPMENT TECHNOLOGIES

2021 ◽  
Author(s):  
Евгений Романович Калюжный ◽  
Леонид Вячеславович Букреев ◽  
Георгий Андреевич Шпаковский ◽  
Виктор Михайлович Красноусов ◽  
Наталья Вячеславовна Зариковская
Keyword(s):  
Operating System ◽  
Programming Languages ◽  
Mobile Applications ◽  
System Development ◽  
Server Side ◽  
C Programming

В данной статье рассмотрены технологии для разработки мобильных приложений для операционных iOS, а именно языки программирования Swift и Objective-C, и архитектура MVVM, а также актуальность вышеописанных языков программирования. Рассмотрены технологии реализации backend части для мобильных приложений. This article discusses technologies for developing mobile applications for operating iOS, namely the Swift and Objective-C programming languages, and the MVVM architecture, as well as the relevance of the above programming languages. The technologies for the implementation of the server side for mobile applications are considered.

scholarly journals New implementation of OGC Web Processing Service in Python programming language. PyWPS-4 and issues we are facing with processing of large raster data using OGC WPS

2016 ◽  
Vol XLI-B7 ◽  
pp. 927-930 ◽  
Author(s):  
Jáchym Čepický ◽  
Luís Moreira de Sousa
Keyword(s):  
Programming Language ◽  
Binary Data ◽  
Security Risks ◽  
Raster Data ◽  
Server Side ◽  
Python Programming Language ◽  
Technical Issues ◽  
Numeric Representation ◽  
Python Programming ◽  
Processing Service

The OGC® Web Processing Service (WPS) Interface Standard provides rules for standardizing inputs and outputs (requests and responses) for geospatial processing services, such as polygon overlay. The standard also defines how a client can request the execution of a process, and how the output from the process is handled. It defines an interface that facilitates publishing of geospatial processes and client discovery of processes and and binding to those processes into workflows. Data required by a WPS can be delivered across a network or they can be available at a server. <br><br> PyWPS was one of the first implementations of OGC WPS on the server side. It is written in the Python programming language and it tries to connect to all existing tools for geospatial data analysis, available on the Python platform. During the last two years, the PyWPS development team has written a new version (called PyWPS-4) completely from scratch. <br><br> The analysis of large raster datasets poses several technical issues in implementing the WPS standard. The data format has to be defined and validated on the server side and binary data have to be encoded using some numeric representation. Pulling raster data from remote servers introduces security risks, in addition, running several processes in parallel has to be possible, so that system resources are used efficiently while preserving security. Here we discuss these topics and illustrate some of the solutions adopted within the PyWPS implementation.

Python programming language: practicum

2019 ◽  
Author(s):  
Роман Жуков ◽  
Roman Zhukov
Keyword(s):  
Programming Languages ◽  
Programming Language ◽  
Undergraduate Students ◽  
Object Oriented Programming ◽  
Federal State ◽  
Full Time ◽  
Data Types ◽  
Python Programming Language ◽  
State Educational ◽  
Python Programming

The tutorial is devoted to the theoretical and practical study of the modern widely used programming language Python. The manual consists of 5 chapters, which consistently addressed issues such as the history of programming languages, features and basic elements of the Python programming language (data types; instructions, functions, modules; object-oriented programming; development of graphical interfaces). The material is presented compactly while maintaining the necessary rigor, algorithmicity and detailed elaboration of the basic concepts in accordance with the working program of the discipline "Computer workshop". Meets the requirements of the Federal state educational standard of higher education of the last generation. For undergraduate students full-time and part-time training areas "Business Informatics", as well as all those interested in programming.

Is Python an Appropriate Programming Language for Teaching Programming in Secondary Schools?

2015 ◽  
Vol 4 (2) ◽  
pp. 5-14 ◽  
Author(s):  
Eva Mészárosová
Keyword(s):  
Secondary School ◽  
Secondary Schools ◽  
Programming Languages ◽  
Programming Language ◽  
Secondary School Students ◽  
School Students ◽  
Python Language ◽  
Python Programming Language ◽  
Python Programming ◽  
Selection Of

Abstract A variety of programming languages are used to teach fundamentals of programming in secondary schools in Slovakia. Nowadays, we observe a new trend, the Python language gaining ground. In our paper we evaluate the interviews, in which we asked teachers with years of pedagogical experience, what the reasons for selecting a particular programming language where. By analysing the responses we learn about their experience with teaching programming and create a list of the important elements in the selection of the most suitable programming language for secondary school students. We will seek an answer for the question whether the Python programming language is appropriate for all secondary school students.

Machine Learning Made Easy: A Review of Scikit-learn Package in Python Programming Language

2019 ◽  
Vol 44 (3) ◽  
pp. 348-361 ◽  
Author(s):  
Jiangang Hao ◽  
Tin Kam Ho
Keyword(s):  
Machine Learning ◽  
Programming Languages ◽  
Programming Language ◽  
Data Science ◽  
Machine Learning Algorithms ◽  
The Past ◽  
Machine Learning Methods ◽  
Python Programming Language ◽  
And Behavior ◽  
Python Programming

Machine learning is a popular topic in data analysis and modeling. Many different machine learning algorithms have been developed and implemented in a variety of programming languages over the past 20 years. In this article, we first provide an overview of machine learning and clarify its difference from statistical inference. Then, we review Scikit-learn, a machine learning package in the Python programming language that is widely used in data science. The Scikit-learn package includes implementations of a comprehensive list of machine learning methods under unified data and modeling procedure conventions, making it a convenient toolkit for educational and behavior statisticians.

scholarly journals Developing mobile software for foreign language learning

2021 ◽  
pp. 155
Author(s):  
Valentyna Fastovets
Keyword(s):  
Operating System ◽  
Foreign Language ◽  
Programming Languages ◽  
Mobile Applications ◽  
Mobile Application ◽  
Foreign Languages ◽  
Application Development ◽  
Programming Environments ◽  
Android Operating System ◽  
User Friendly

Problem. The subject of the study is an interactive mobile application in Java. To perform this work, the following tasks were set: analysis of programming environments and languages of development;  analysis of methods for developing the logic and interface of the mobile application; development of an interactive mobile application in Java. Goal. The aim of the work is to develop a mobile application for learning a foreign language for the Android operating system, whose interface and logic will be modern, user-friendly and accessible to users. Methodology. The general concept of a mobile application for learning a foreign language is as follows: learning a foreign language offline, versatile learning (words, grammar), the presence of a motivational unit, simple design. The object of research is the process of building an interactive mobile application in Java for the Android operating system. In the course of the work, a study of programming languages and environments for the development of mobile applications was conducted. Programming languages such as: Java, C ++, C # were considered. Programming environments such as Android Studio, NetBeans and Eclipse were also analyzed. As a result, the Java programming language and Android Studio programming environment were chosen for the development of the mobile application. Two types of markup were selected: LinearLayout; ConstraintLayout. Results. The mobile application for learning a foreign language for the Android operating system was developed in Android Studio in two programming languages: Java (logic) and XML (interface). The aim to provide the application with modern interface and logic, to make it user-friendly and accessible to users was completed. Originality. Contribution has been made to the field of using smartphones for learning foreign languages. The sphere of using smartphones has been expanded with the use of all modern trends to the creation of mobile applications for learning foreign languages. Practicalvalue. Considering that the number of potential users will only increase in the nearest future, the developed mobile application for learning a foreign language is an ideal platform for educating those who want to develop and learn foreign languages for themselves, as well as for work, communication and travel.

PYTHON PROGRAMMING LANGUAGE IN PEDAGOGICAL UNIVERSITY: FROM THE BASES TO ARTIFICIAL INTELLIGENCE

2019 ◽  
pp. 26-33 ◽  
Author(s):  
K. V. Rozov ◽  
A. V. Podsadnikov
Keyword(s):  
Artificial Intelligence ◽  
Programming Languages ◽  
Programming Language ◽  
Professional Training ◽  
Future Teachers ◽  
Python Programming Language ◽  
Artificial Intelligence In Education ◽  
Key Issues ◽  
Organizational Features ◽  
Python Programming

The article actualizes the choice of Python programming language for professional training of future teachers of informatics in pedagogical university. Python, being one of the most relevant programming languages, is being introduced into education, and the future informatics teacher should be ready to effectively use it to teach the basics of programming. In addition, the Python language is one of the leading tools for the implementation of advanced technologies of artificial intelligence, and therefore, owning this programming language teacher can be part of the mechanism of implementation of artificial intelligence in education. The objective of the article is to consider the features of the organization of the course of programming in Python for the training of future teachers of informatics. Methodology. During the development of the author’s course of programming in Python educational literature on programming in this language was analyzed, as well as articles by practicing teachers and researchers describing their experience of teaching Python. Results and conclusion. To ensure quality training of future teachers of informatics at Novosibirsk State Pedagogical University a course of programming in Python was developed and tested in the discipline “Programming”. During the development of the course, typical problems of teaching Python at school and university were taken into account, identified by both the authors of the article and other practicing programming teachers. The structure of the developed course with the description of its constituent sections is given. The article presents the results of a survey of students of 3d and 4th undergraduate courses, who completed the presented course, on the key issues covered in the article. Respondents noted the relevance of learning Python and the effectiveness of certain organizational features of the course. The continuity of the course for further training of future teachers of informatics to the current technologies of artificial intelligence is revealed.

scholarly journals New implementation of OGC Web Processing Service in Python programming language. PyWPS-4 and issues we are facing with processing of large raster data using OGC WPS

2016 ◽  
Vol XLI-B7 ◽  
pp. 927-930 ◽  
Author(s):  
Jáchym Čepický ◽  
Luís Moreira de Sousa
Keyword(s):  
Programming Language ◽  
Binary Data ◽  
Security Risks ◽  
Raster Data ◽  
Server Side ◽  
Python Programming Language ◽  
Technical Issues ◽  
Numeric Representation ◽  
Python Programming ◽  
Processing Service

The OGC® Web Processing Service (WPS) Interface Standard provides rules for standardizing inputs and outputs (requests and responses) for geospatial processing services, such as polygon overlay. The standard also defines how a client can request the execution of a process, and how the output from the process is handled. It defines an interface that facilitates publishing of geospatial processes and client discovery of processes and and binding to those processes into workflows. Data required by a WPS can be delivered across a network or they can be available at a server. &lt;br&gt;&lt;br&gt; PyWPS was one of the first implementations of OGC WPS on the server side. It is written in the Python programming language and it tries to connect to all existing tools for geospatial data analysis, available on the Python platform. During the last two years, the PyWPS development team has written a new version (called PyWPS-4) completely from scratch. &lt;br&gt;&lt;br&gt; The analysis of large raster datasets poses several technical issues in implementing the WPS standard. The data format has to be defined and validated on the server side and binary data have to be encoded using some numeric representation. Pulling raster data from remote servers introduces security risks, in addition, running several processes in parallel has to be possible, so that system resources are used efficiently while preserving security. Here we discuss these topics and illustrate some of the solutions adopted within the PyWPS implementation.

A Python application to generate digital signals

2020 ◽  
Vol 65 (1) ◽  
pp. 96-104
Author(s):  
Tatian-Cristian Mălin
Keyword(s):  
Numerical Simulation ◽  
Programming Language ◽  
Digital Signals ◽  
Python Programming Language ◽  
Python Programming

We introduce in this paper an application developed in the Python programming language that can be used to generate digital signals with known frequencies and amplitudes. These digital signals, since have known parameters, can be used to create benchmarks for test and numerical simulation.

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