Relevant bibliographies by topics / Django REST Framework

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  2. Dissertations / Theses
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  4. Book chapters

Academic literature on the topic 'Django REST Framework'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 June 2025

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Journal articles on the topic "Django REST Framework"

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Солиев, Бахромжон. "Путеводитель по построению веб-API на Django - Шаг за шагом с Django REST framework — от моделей до проверки работоспособности". Al-Farg'oniy avlodlari 1, № 4 (2023): 166–71. https://doi.org/10.5281/zenodo.10337080.

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В данной публикации мы изучим применение Django REST framework для разработки веб-API в контексте фреймворка Django. Рассмотрим основные шаги по настройке проекта, созданию эндпоинтов, аутентификации пользователей, а также использованию инструментов для обработки и валидации данных.
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Manoj Kumar and Dr Rainu Nandal. "Python's Role in Accelerating Web Application Development with Django." International Research Journal on Advanced Engineering and Management (IRJAEM) 2, no. 06 (2024): 1902–15. http://dx.doi.org/10.47392/irjaem.2024.0307.

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Efficient, secure, and scalable web services are critical in today's digital environment. This study explores the field of web service development and addresses issues such system efficiency, project duration, and changing requirements. The goal of this study is to ensure reliable and efficient web services by streamlining the development process and utilizing the Django framework. The study highlights the application of Django's Model-Template-View (MTV) design pattern, which is customized for a listing management system. Smooth data interaction and effective system performance are ensured by the study's seamless integration of Django's capabilities with MySQL for database management. To further improve system performance, focus is given to standardizing data sharing protocols and expediting user authentication procedures. The automation of web page construction with Python, HTML, and CSS modules, which increases system efficacy, is a crucial component of the research. Furthermore, the study shows how crucial security measures are, such as encryption for data confidentiality and integrity, which are made possible by the REST API interaction with the front end and the Django REST framework. Along with discussing key attacks and weaknesses that are frequent in web technology, the article also offers strategies to reduce these risks. Through the use of suitable SDLC models and testing procedures, it recognizes the crucial role that software engineering processes play in the development process. Focusing attention to Django's feature set, scalability, and wide library support, the study proves its advantages over competing web frameworks. The goal of the research is to provide developers and students with the skills they need to fully utilize Django's capabilities, making it easier to create dependable, successful and safe online applications. This study advances knowledge in the field of web technology and service development by lighting the development, difficulties, and current solutions in these fields. The study's ultimate goal is to open the door for comprehensive, modern, and efficient web service creation in order to satisfy the growing need for effective web solutions in the current digital era.
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Saputra, Danandjaya. "Analisis Perbandingan Performa Web Service Rest Menggunakan Framework Laravel, Django Dan Ruby On Rails Untuk Akses Data Dengan." Jurnal Bangkit Indonesia 7, no. 2 (2018): 17. http://dx.doi.org/10.52771/bangkitindonesia.v7i2.90.

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Penggunaan perangkat mobile di era revolusi industri 4.0 semakin meningkat, dengan perangkat mobile manusia dapat dengan mudah berkomunikasi, berbisnis, hiburan dan kegiatan lainnya melalui genggaman tangan. Semakin banyak pengguna perangkat mobile maka aplikasi mobile adalah trend aplikasi yang dapat dipilih oleh suatu perusahaan atau organisasi untuk mengembangan sistem informasi atau aplikasi yang sudah berjalan sebelumnya. Salah satunya adalah kampus STT Indonesia Tanjungpinang, yang saat ini sudah memiliki sistem informasi akademik berbasis web yang bernama Portal E-Kampus. Portal E-Kampus di STT Indonesia Tanjungpinang akan dikembangkan ke aplikasi mobile. Dalam proses integrasi data antara sistem informasi yang sudah ada dengan sistem baru yang berbeda platform khususnya berbasis perangkat mobile, salah satu cara yang dapat dipilih adalah penggunaan web service. Web service dapat dibuat dengan menggunakan web framework yaitu Laravel, Ruby on Rails dan Django, pemilihan web framework dapat berpengaruh pada kinerja web service. Oleh karena itu, perlu dilakukan analisis performa web service untuk mengetahui perbedaan penggunaan CPU (Central Processing Unit), memory dan kecepatan eksekusi web framework yang digunakan pada Portal E-Kampus. Setelah dilakukan penelitian di prediksi framework Django memiliki waktu respon yang cepat, penggunaan CPU dan Memori yang paling sedikit sehingga penulis merekomendasikan kepada kampus STTI Tanjungpinang untuk membangun web service Portal E-Kampus dengan menggunakan web framework Django.
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Zanevych, Oleh. "ADVANCING WEB DEVELOPMENT: A COMPARATIVE ANALYSIS OF MODERN FRAMEWORKS FOR REST AND GRAPHQL BACK-END SERVICES." Grail of Science, no. 37 (March 23, 2024): 216–28. http://dx.doi.org/10.36074/grail-of-science.15.03.2024.031.

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This article conducts a detailed comparison of leading REST and GraphQL web development frameworks, including Node.js with Express, Spring Boot, Django, Flask, Ruby on Rails, Apollo Server, GraphQL-Ruby, and Graphene. It assesses each framework's performance, scalability, usability, and community support to highlight their strengths and application suitability. The discussion extends to the challenges of framework selection, such as learning curves and security, and anticipates future technological influences like cloud computing and AI. The analysis aims to guide developers and organizations in choosing frameworks that best meet their project needs and strategic objectives, providing a concise yet comprehensive resource in the evolving field of web development.
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Soliev, Bakhromjon Nabijonovich. "ГЕНЕРАЦИЯ АВТОМАТИЧЕСКОЙ ДОКУМЕНТАЦИИ API В DJANGO REST FRAMEWORK С ПРИМЕНЕНИЕМ DRF SPECTACULAR". Al-Farg'oniy avlodlari 1, № 2 (2023): 61–66. https://doi.org/10.5281/zenodo.7979432.

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Целью этой статьи является демонстрация возможностей drf-spectacular для документирования API и основного набора техник, которые покроют большую часть сценариев использования. Мы настроим генерацию документации и рассмотрим все основные способы гибкой настройки отображения
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Alnavar, Kruthika, R. Uday Kumar, and C. Narendra Babu. "Document Parsing Tool for Language Translation and Web Crawling using Django REST Framework." Journal of Physics: Conference Series 1962, no. 1 (2021): 012018. http://dx.doi.org/10.1088/1742-6596/1962/1/012018.

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Hadullo, Kennedy Ochilo, and Daniel Makini Getuno. "Machine Learning Software Architecture and Model Workflow. A Case of Django REST Framework." American Journal of Applied Sciences 18, no. 1 (2021): 152–64. http://dx.doi.org/10.3844/ajassp.2021.152.164.

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jha, Suman. "Wecare – The Health Care Platform." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48016.

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Abstract - Women's healthcare is severely lacking in numerous regions globally, primarily because of the social stigma surrounding reproductive matters, restricted access to early diagnostics, and fragmented healthcare systems. Wecare is a digital healthcare platform powered by artificial intelligence (AI) that aims to bridge the gap in women's healthcare by providing confidential and easily accessible services specifically designed for women. It combines menstrual tracking, medical history storage, early detection of conditions like polycystic ovary syndrome (pcos) and breast cancer through artificial intelligence (ai) models, and virtual consultations with healthcare providers. This paper examines the system architecture, artificial intelligence methodology, and the implementation pipeline constructed using technologies like Python, Django Rest Framework, MySQL, and machine learning libraries such as TensorFlow and Scikit-learn. The platform's scalability, usability, and impact are evaluated through performance assessment, user feedback, and practical application. Wecare presents a promising step towards empowering women's health digitally, particularly in underserved communities. Key Words: Women’s Health, Artificial Intelligence, Digital Health Platform, Menstrual Tracker, Teleconsultation, PCOS Diagnosis, Django REST Framework, Machine Learning, Preventive Care, Confidential Healthcare.
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Thopate, Gaurav. "Automated Code Documentation Generator using AI with React and Django." International Journal for Research in Applied Science and Engineering Technology 13, no. 6 (2025): 453–54. https://doi.org/10.22214/ijraset.2025.68968.

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This project proposes an AI-powered platform for generating automated software documentation. Developers often overlook comprehensive documentation due to time constraints or complexity. To address this, we built a system that enables users to upload source code, which is then processed by Google's Gemini LLM to produce detailed documentation. The application uses a React-based frontend for user interaction, Django REST Framework for backend services, and supports PDF generation and secure user authentication via JWT. The system aims to save time and improve code maintainability.
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Berezovsky, Vladimir, and Natallia Vygovskaya. "Justification for selecting the neural network type for inclusion in the architecture of the developed medical information system." BIO Web of Conferences 84 (2024): 03006. http://dx.doi.org/10.1051/bioconf/20248403006.

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This article provides a brief overview of the application of neural networks in medical systems for disease diagnosis. The relevance of developing a medical information system (MIS) with artificial intelligence for otolaryngologists is justified. The developed automated workstation (AWS) for doctors is presented. The MIS AWS enables the following tasks: loading, storing, and viewing examination results in the DICOM format. The MIS is a web platform with a client-server architecture, utilizing technologies such as PostgreSQL, Python, Django REST Framework, Docker, Docker-compose, and Vue.js. Vue.js was chosen as the framework for Frontend, along with the libraries Vuex and Vue-router. The MIS consists of four modules: Vue.js framework, Django framework, database (DB), and file system (FS). The information-communication structure for the exchange of medical images is presented, where the MIS serves as the core, facilitating the overall data preparation and accumulation cycle for CT scan analysis. Based on the analysis of neural network architectures for medical image recognition, the decision was made to implement a convolutional neural network (CNN) into the MIS structure. The automated centralized repository for medical data on patient examinations currently performs the function of accumulating and storing information for the training and testing of the neural network.
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Dissertations / Theses on the topic "Django REST Framework"

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Bobák, Petr. "Mobilní systém pro rozpoznání textu na iOS." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2017. http://www.nusl.cz/ntk/nusl-363789.

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This thesis describes a development of a modern client-server application for text recognition on iOS platform. The reader is acquainted with common principles of a client-server model, including its known architecture styles, and with a distribution of logical layers between both sides of the model. After that the thesis depicts current trends and examples of suitable technologies for creating an application programming interface of a web server. Possible ways of text recognition on the server side are discussed as well. In context of a client side, the thesis provides an insight into iOS platform and a few important concepts in iOS application development. Following implementation of the server side is stressed to be reusable as much as possible for different kinds of use cases. Last but not least, the thesis provides a simple iOS framework for a direct communication with the recognition server. Finally, an application for evaluation of food ingredients from a packaging material is implemented as an example of usage.
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Hřebíček, Pavel. "Mobilní aplikace pro rozpoznání leukokorie ze snímku lidského obličeje." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-403140.

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The goal of this thesis is to design and implement a multiplatform multilingual mobile application for detecting leukocoria in an image of human face for iOS and Android platforms. Leukocoria is a whitish light of the pupil, which can be seen on the photo when the flash is used. Early detection of this symptom can save human eyesight. The application itself allows to analyze a user's photo and detect the presence of leukocoria. The goal of the application is to analyze eyes of the human, from which the mobile application name - Eye Check is derived. React Native framework was used to create a multiplatform mobile application. The Dlib library was chosen for human face and eye detection, the OpenCV library for working with the photo. The convolutional neural network was used to classify the eyes for the possible presence of leukocoria. Client-Server communication is solved using the REST architecture. The result is a mobile application that detects leukocoria and allerts the user to visit his doctor if leukocoria is detected.
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Alegria, João Tiago Faria. "Agregador de serviços de mobilidade alternativa." Master's thesis, 2018. http://hdl.handle.net/10773/26240.

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A crescente preocupação relativa à sobreexploração dos veículos motorizados e dos problemas de mobilidade subjacentes, o congestionamento e o impacto ambiental, despertaram nos últimos anos uma maior sensibilização relativamente à temática. Desde então, diversas soluções de mobilidade foram apresentadas e têm sido, ao longo do tempo, cada vez mais adotadas, potenciando assim uma diminuição no congestionamento das grandes cidades. Contudo, o surgimento destas diversas plataformas faz com que o utilizador tenha de despender cada vez mais tempo na procura do melhor serviço para as suas necessidades. Desta forma, e partindo da proposta lançada pela Ubiwhere Lda., pretende-se com a realização desta dissertação a construção de um agregador que reúna os principais serviços de carsharing, ridesharing, táxis e semelhantes de forma a reunir numa só solução a possibilidade do utilizador recolher estatísticas de preços, data e hora de partida, duração e distância de uma dada viagem, centralizando assim o processo de procura. Para o desenvolvimento do agregador apresentado foi utilizado a framework Django Rest Framework, que possibilitou a criação da REST API resultante. Por fim, e de modo a testar a solução final, foi desenvolvida uma prova de conceito que consistiu no desenvolvimento de uma aplicação Android que se conecta, recolhe e apresenta os dados resultantes das consultas à REST API. Com a criação e desenvolvimento desta solução, a sua integração em projetos futuros, terá como objetivo auxiliar o utilizador na procura de viagens, motivando a adoção das diversas plataformas, levando assim à diminuição do congestionamento sentido nas grandes cidades, tendo como impacto final a diminuição da poluição e a dedução das emissões de poluentes atmosféricos.<br>The growing concern about overexploitation of motor vehicles and the underlying mobility problems, congestion and environmental impact, have been in the recent years raised awareness about this topic. Since then, new mobility solutions have been presented and have been increasingly adopted, potentiating a reduction in the congestion of large cities. However, the emergence of these platforms means that the user has to spend more and more time looking for the best service to satisfy their needs. In this way, and based on the proposal presented by Ubiwhere Lda., the purpose of this dissertation is the construction of an aggregator that brings together the main services of carsharing, ridesharing, taxis and others, in order to bring together in a single solution, the possibility to collect price statistics, the departure time, duration and distance of a given trip, centralizing the search process. For the development of the presented aggregator was used the Django Rest Framework, which allowed the creation of the resulting REST API. Finally, in order to test the final solution, a proof of concept was developed that consisted of the development of an Android application that connects, collects and presents the data resulting from the REST API requests. With the creation and development of this solution, its integration in future projects, will aim to help the user in the search for travels, motivating the adoption of this kind of platforms, leading to the reduction of congestion felt in the big cities, having as final impact the decrease reduction of emissions of air pollutants.<br>Mestrado em Engenharia Informática
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Books on the topic "Django REST Framework"

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Lightweight Django: Using REST, WebSockets, and Backbone. O'Reilly Media, 2014.

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Montilla, Israel Fermin. Building REST APIs with Python and Django 4: Design and Implement Beautiful and Semantic Web APIs Using Django REST Framework. Packt Publishing, Limited, 2024.

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Book chapters on the topic "Django REST Framework"

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Gagliardi, Valentino. "Modern Django and the Django REST Framework." In Decoupled Django. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7144-5_3.

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Gagliardi, Valentino. "Decoupled Django with the Django REST Framework." In Decoupled Django. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7144-5_6.

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Gagliardi, Valentino. "Authentication and Authorization in the Django REST Framework." In Decoupled Django. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7144-5_10.

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