Attacking the semantic gap between application programming languages and configurable hardware

Python is one of the most widely adopted programming languages, having replaced a number of those in the field. Python is popular with developers for a variety of reasons, one of which is because it has an incredibly diverse collection of libraries that users can run. The most compelling reasons for adopting Keras come from its guiding principles, particularly those related to usability. Aside from the simplicity of learning and model construction, Keras has a wide variety of production deployment options and robust support for multiple GPUs and distributed training. A strong and easy-to-use free, open-source Python library is the most important tool for developing and evaluating deep learning models. The aim of this paper is to provide the most current survey of Keras in different aspects, which is a Python-based deep learning Application Programming Interface (API) that runs on top of the machine learning framework, TensorFlow. The mentioned library is used in conjunction with TensorFlow, PyTorch, CODEEPNEATM, and Pygame to allow integration of deep learning models such as cardiovascular disease diagnostics, graph neural networks, identifying health issues, COVID-19 recognition, skin tumors, image detection, and so on, in the applied area. Furthermore, the author used Keras's details, goals, challenges, significant outcomes, and the findings obtained using this method.

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System for Automated Geoscientific Analyses (SAGA) v. 2.1.4

Geoscientific Model Development Discussions ◽

10.5194/gmdd-8-2271-2015 ◽

2015 ◽

Vol 8 (2) ◽

pp. 2271-2312 ◽

Cited By ~ 41

Author(s):

O. Conrad ◽

B. Bechtel ◽

M. Bock ◽

H. Dietrich ◽

E. Fischer ◽

...

Keyword(s):

Programming Languages ◽

Wide Spectrum ◽

Application Programming Interface ◽

Terrain Analysis ◽

Digital Terrain Analysis ◽

Object Oriented Design ◽

Digital Terrain ◽

Current State ◽

Application Programming ◽

Functional Features

Abstract. The System for Automated Geoscientific Analyses (SAGA) is an open-source Geographic Information System (GIS), mainly licensed under the GNU General Public License. Since its first release in 2004, SAGA has rapidly developed from a specialized tool for digital terrain analysis to a comprehensive and globally established GIS platform for scientific analysis and modeling. SAGA is coded in C++ in an object oriented design and runs under several operating systems including Windows and Linux. Key functional features of the modular organized software architecture comprise an application programming interface for the development and implementation of new geoscientific methods, an easily approachable graphical user interface with many visualization options, a command line interpreter, and interfaces to scripting and low level programming languages like R and Python. The current version 2.1.4 offers more than 700 tools, which are implemented in dynamically loadable libraries or shared objects and represent the broad scopes of SAGA in numerous fields of geoscientific endeavor and beyond. In this paper, we inform about the system's architecture, functionality, and its current state of development and implementation. Further, we highlight the wide spectrum of scientific applications of SAGA in a review of published studies with special emphasis on the core application areas digital terrain analysis, geomorphology, soil science, climatology and meteorology, as well as remote sensing.

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An Advanced Course in Application Programming and Design

Information Technology Education in the New Millennium ◽

10.4018/978-1-931777-05-6.ch002 ◽

2011 ◽

pp. 11-15

Author(s):

Cecil Schmidt

Keyword(s):

Programming Languages ◽

Information Science ◽

Data Access ◽

Art Business ◽

Web Based ◽

Access Methods ◽

Business Applications ◽

Application Programming ◽

Persistent Data ◽

Access Mechanisms

The continuing evolution in state-of-the-art business applications such as those that support e-commerce, advancements in programming language design such as Java™, and the requirements for persistent data access mechanisms have all significantly impacted the required knowledge-base of computer information science graduates. As such these individuals should have a strong background in the design and implementation of client/server applications in both traditional and Web-based environments. Application design should emphasize object-oriented techniques that can take full advantage of the most recent enhancements to programming languages. Also, alternative file structures and data access methods should be explored. This chapter gives an overview of a new course offering which will address these issues.

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A Comparative Analysis of the Use of GitHub by Librarians and Non-Librarians

Evidence Based Library and Information Practice ◽

10.18438/eblip29291 ◽

2018 ◽

Vol 13 (2) ◽

pp. 27-47

Author(s):

Mark Edward Eaton

Keyword(s):

Programming Languages ◽

Quantitative Data ◽

Comparison Group ◽

Software Developers ◽

Diverse Range ◽

Work Sharing ◽

Two Samples ◽

Application Programming ◽

Library Profession ◽

Programming Interfaces

Abstract Objective – GitHub is a popular tool that allows software developers to collaborate and share their code on the web. Librarians have adopted GitHub to support their own work, sharing code in support of their libraries. This paper asks: How does librarians’ use of GitHub compare to that of other users? Methods – To retrieve quantitative data on GitHub users, we queried the GitHub APIs (application programming interfaces). By assembling data on librarians’ use of GitHub, as well as on a comparison group, we provided preliminary comparisons of these two samples. We analyzed and visualized this data across a number of variables to offer salient insights as to how librarians compare to randomly selected GitHub users. Results – Librarians regularly use a more diverse range of programming languages than the comparison group, hinting at a broad range of possible uses of code in libraries. While the librarians’ sample group did not demonstrate statistically significant differences from the comparison group on most measures of activity and popularity, they scored significantly higher in reach and productivity than the comparison group. This could be due to librarians’ greater longevity on GitHub, as well as their greater investment in GitHub as a tool for sharing. Conclusion – Our data suggest that librarians are actively building their libraries with code and sharing the results. While it was unclear whether librarians were more active or popular on GitHub than the comparison group, it was clear that they demonstrated statistically significant outperformance in terms of reach and productivity. To explain these findings, we hypothesized that librarians’ embrace of GitHub is in line with widely held values of “openness” in the library profession.

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Website Penerimaan Siswa Baru Smp Persatuan Republik Indonesia (PGRI) Kota Pagaralam

Jurnal Ilmiah Betrik ◽

10.36050/betrik.v8i02.67 ◽

2017 ◽

Vol 8 (02) ◽

pp. 61-69

Author(s):

Desi Puspita

Keyword(s):

Programming Languages ◽

Programming Language ◽

System Development ◽

Development Method ◽

New Students ◽

Application Programming ◽

New Student ◽

Student Acceptance

The new admissions website at SMP PGRI Pagaralam is still done manually, that is the acceptance of new students have not used the programming language, where the new student acceptance is still recorded in the big books, so the peroses of service on the acceptance of new students become slow and ineffective. Results and this study is a new admissions system that has been asked directly at SMP PGRI Pagaralam City. This system is built using Macromedia Dreamweaver CS3 application, programming languages PHP and MySQL, while the system development method is Web ngineering. From the research it can be concluded that to create a new student admissions website that must be done first is to create a new admissions website. If the new admissions system is built is able to input new student admissions data and generate output in the form of reports then it can be concluded that the new admissions website SMP PGRI Pagaralam Pagaralam successful.

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Bitcoin’s APIs in Open-Source Projects: Security Usability Evaluation

Electronics ◽

10.3390/electronics9071077 ◽

2020 ◽

Vol 9 (7) ◽

pp. 1077

Author(s):

Philipp Tschannen ◽

Ali Ahmed

Keyword(s):

Open Source ◽

Programming Languages ◽

Application Programming Interface ◽

Usable Security ◽

Software Developers ◽

Security Vulnerabilities ◽

Software Applications ◽

Current State ◽

Digital Money ◽

Application Programming

Given the current state of software development, it does not seem that we are nowhere near vulnerability-free software applications, due to many reasons, and software developers are one of them. Insecure coding practices, the complexity of the task in hand, and usability issues, amongst other reasons, make it hard on software developers to maintain secure code. When it comes to cryptographic currencies, the need for assuring security is inevitable. For example, Bitcoin is a peer-to-peer software system that is primarily used as digital money. There exist many software libraries supporting various programming languages that allow access to the Bitcoin system via an Application Programming Interface (API). APIs that are inappropriately used would lead to security vulnerabilities, which are hard to discover, resulting in many zero-day exploits. Making APIs usable is, therefore, an essential aspect related to the quality and robustness of the software. This paper surveys the general academic literature concerning API usability and usable security. Furthermore, it evaluates the API usability of Libbitcoin, a well-known C++ implementation of the Bitcoin system, and assesses how the findings of this evaluation could affect the applications that use Libbitcoin. For that purpose, the paper proposes two static analysis tools to further investigate the use of Libbitcoin APIs in open-source projects from a security usability perspective. The findings of this research have improved Libbitcoin in many places, as will be shown in this paper.

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A Systematic Review of API Evolution Literature

ACM Computing Surveys ◽

10.1145/3470133 ◽

2022 ◽

Vol 54 (8) ◽

pp. 1-36

Author(s):

Maxime Lamothe ◽

Yann-Gaël Guéhéneuc ◽

Weiyi Shang

Keyword(s):

Programming Languages ◽

Research Evaluation ◽

State Of The Art ◽

Publication Trends ◽

Current State ◽

Software Artifact ◽

Application Programming ◽

New Challenges ◽

The Impact ◽

Programming Interfaces

Recent software advances have led to an expansion of the development and usage of application programming interfaces (APIs). From millions of Android packages (APKs) available on Google Store to millions of open-source packages available in Maven, PyPI, and npm, APIs have become an integral part of software development. Like any software artifact, software APIs evolve and suffer from this evolution. Prior research has uncovered many challenges to the development, usage, and evolution of APIs. While some challenges have been studied and solved, many remain. These challenges are scattered in the literature, which hides advances and cloaks the remaining challenges. In this systematic literature review on APIs and API evolution, we uncover and describe publication trends and trending topics. We compile common research goals, evaluation methods, metrics, and subjects. We summarize the current state-of-the-art and outline known existing challenges as well as new challenges uncovered during this review. We conclude that the main remaining challenges related to APIs and API evolution are (1) automatically identifying and leveraging factors that drive API changes, (2) creating and using uniform benchmarks for research evaluation, and (3) understanding the impact of API evolution on API developers and users with respect to various programming languages.

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Efficiency comparison of mobile application frameworks for programming using internet technologies

Journal of Computer Sciences Institute ◽

10.35784/jcsi.635 ◽

2018 ◽

Vol 6 ◽

pp. 28-33

Author(s):

Marcin Martyna ◽

Jakub Smołka

Keyword(s):

Programming Languages ◽

Mobile Applications ◽

Mobile Application ◽

Application Framework ◽

Internet Technologies ◽

Application Programming ◽

Cross Platform ◽

Internet Application ◽

Android Operating System ◽

Efficiency Comparison

Over the last few years many frameworks allowing programming mobile applications have been created. Some of them are based on programming languages typical for internet application programming - HTML or JavaScript for example. This paper presents a comparison of three cross-platform environments: PhoneGap, NativeScript and Appcelerator. Using each of these environments an application with identical functionalities was created. The application was designed for Android operating system. Implemented tests allowed for determining which one of the application framework is the most efficient with respect to the time needed for executing respective functions. Obtained results are shown and analyzed.

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Impact of the cloud application programming language on the performance of its implementation in selected serverless environments

Journal of Computer Sciences Institute ◽

10.35784/jcsi.1572 ◽

2020 ◽

Vol 14 ◽

pp. 31-36

Author(s):

Krzysztof Bezrąk ◽

Sławomir Przyłucki

Keyword(s):

Programming Languages ◽

Programming Language ◽

Program Implementation ◽

Sharp Increase ◽

Technology Development ◽

Cloud Technology ◽

Cloud Application ◽

Potential Applications ◽

Application Programming ◽

The Impact

Recent years of cloud technology development have brought a sharp increase in interest in solutions known as serverless systems. Their performance, and thus usefulness in potential applications, strongly depends on the method of program implementation of specific tasks. The article analyzes the impact of selected, currently the most popular, programming languages on the performance of the serverless test infrastructure running in an environment managed by the Kubernetes system. The collected data were used to formulate conclusions regarding the suitability of individual languages in the conditions of varying serverless system loads.

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JASPAR RESTful API: accessing JASPAR data from any programming language

10.1101/160184 ◽

2017 ◽

Author(s):

Aziz Khan ◽

Anthony Mathelier

Keyword(s):

Programming Languages ◽

Programming Language ◽

Application Programming Interface ◽

Representational State Transfer ◽

Link Type ◽

State Transfer ◽

Open Access Database ◽

Application Programming ◽

Rest Api ◽

Programmatic Access

AbstractJASPAR is a widely used open-access database of curated, non-redundant transcription factor binding profiles. Currently, data from JASPAR can be retrieved as flat files or by using programming language-specific interfaces. Here, we present a programming language-independent application programming interface (API) to access JASPAR data using the Representational State Transfer (REST) architecture. The REST API enables programmatic access to JASPAR by most programming languages and returns data in seven widely used formats. Further, it provides an endpoint to infer the TF binding profile(s) likely bound by a given DNA binding domain protein sequence. Additionaly, it provides an interactive browsable interface for bioinformatics tool developers. The REST API is implemented in Python using the Django REST Framework. It is accessible at http://jaspar.genereg.net/api/ and the source code is freeiy available at https://bitbucket.org/CBGR/jaspar under GPL v3 iicense.

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