High Performance Web Apps With Fastapi
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High Performance Web Apps With Fastapi
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Author : Malhar Lathkar
language : en
Publisher:
Release Date : 2023
High Performance Web Apps With Fastapi written by Malhar Lathkar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.
Build APIs and web apps based on Asynchronous Server Gateway Interface (ASGI). This book provides a comprehensive explanation of using Pydantic models to construct the request/response objects in a FASTAPI path operation. You'll start by reviewing type hints in Python and the asynchronous processing concepts. One of the highlights of FastAPI is its auto generation of API docs. Pydantic library is the main pillar on top of which FastAPI is built. You'll see that ASGI has a far better performance compared to most of the other popular Python frameworks as they implement Web server Gateway Interface (WSGI), which is synchronous in nature and hence having slower response time. This book thoroughly explains how FastAPI interacts asynchronously with relational as well as NOSQL databases. Modern web apps use template engines to interact with the front-end. In this book, you will learn to use jinja2 templates and static assets. Swagger UI and OpenAPI standards are also covered in detail. Finally, different options of deployment of FastAPI app have been explored in this book. This book uses practical examples to empower you to build high performance APIs You will: Develop robust and high-performance web apps Deploy the FastAPI app for public availability using cloud services such as Deta and Docker container Understand the important building blocks of a web app such as form handling, templating and database interaction.
Building High Performance Web Apis With Fastapi
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Author : Girish Vas
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2025-09-26
Building High Performance Web Apis With Fastapi written by Girish Vas and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-26 with Computers categories.
TAGLINE Master FastAPI to Build Secure, High-performance Web APIs with Modern Python— from Fundamentals to Full-scale Applications. KEY FEATURES ● Comprehensive coverage of FastAPI from fundamentals to deployment. ● Build production-ready APIs by integrating authentication, databases, and async programming. ● Practical guidance on testing, scaling, and securing APIs for production. DESCRIPTION APIs are the backbone of today’s interconnected digital world, powering everything from mobile apps to enterprise systems. Building them to be fast, scalable, and secure is critical for modern software success. Building High-Performance Web APIs with FastAPI shows you how to achieve exactly that—using Python’s cutting-edge FastAPI framework. Starting with RESTful API fundamentals and FastAPI’s core principles, you will set up your development environment, install the framework, and explore its key features. You will progress through designing and validating data models with Pydantic, implementing authentication and authorization, handling file uploads, and integrating relational databases like SQLite, PostgreSQL, and MySQL. From there, you will master testing and debugging techniques, learn deployment strategies with Docker and Kubernetes, and scale your APIs with best practices for performance and security. Real-world projects and step-by-step examples make each concept easy to grasp and apply. Thus, by the end, you will have the skills and confidence to design, build, and deploy production-ready APIs that meet today’s performance and reliability standards. Hence, whether you are a developer, architect, or engineer, Building High-Performance Web APIs with FastAPI is your roadmap to mastering high-performance API development—start building the APIs your users deserve. WHAT WILL YOU LEARN ● Understand FastAPI’s architecture and RESTful API principles. ● Set up a complete development environment, and install FastAPI. ● Design and validate request/response models with Pydantic. ● Implement authentication, authorization, and file handling. ● Connect to databases (SQLite, PostgreSQL, and MySQL) with SQLAlchemy. ● Deploy and scale FastAPI applications, using Docker and Kubernetes. WHO IS THIS BOOK FOR? This book is tailored for Python developers, backend engineers, full-stack developers, and API architects with basic programming and HTTP knowledge who want to master modern API development. Familiarity with Python syntax and core web concepts will help readers quickly apply FastAPI to real-world, production-grade projects. TABLE OF CONTENTS 1. Introduction to FastAPI and RESTful APIs 2. Setting Up the Development Environment 3. Installing FastAPI 4. Core Features of FastAPI 5. Dependency Injection 6. Request and Response Models with Pydantic 7. Authentication and Authorization 8. File Uploading 9. Connecting to Databases 10. Testing and Debugging 11. Deployment and Scalability 12. Managing Application Configuration 13. Building Practical Projects 14. Future of FastAPI 15. Appendices Index
Artificial Intelligence Applications And Innovations Aiai 2025 Ifip Wg 12 5 International Workshops
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Author : Antonios Papaleonidas
language : en
Publisher: Springer Nature
Release Date : 2025-06-25
Artificial Intelligence Applications And Innovations Aiai 2025 Ifip Wg 12 5 International Workshops written by Antonios Papaleonidas and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-25 with Computers categories.
This 2-volume set constitutes the refereed proceedings of International Workshops, held as parallel events of the 21st IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2025, held in Limassol, Cyprus, during June 26–29, 2025. The 44 full papers and 6 short papers presented in these proceedings were carefully reviewed and selected from 117 submissions. The AIAI 2025 conference hosts several workshops that support innovative research on various specific and hot scientific domains every year. These satellite events offer a deep insight into both rapid advances and timely creative applications of AI.
Computational Science And Its Applications Iccsa 2023 Workshops
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Author : Osvaldo Gervasi
language : en
Publisher: Springer Nature
Release Date : 2023-06-28
Computational Science And Its Applications Iccsa 2023 Workshops written by Osvaldo Gervasi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-28 with Computers categories.
This nine-volume set LNCS 14104 – 14112 constitutes the refereed workshop proceedings of the 23rd International Conference on Computational Science and Its Applications, ICCSA 2023, held at Athens, Greece, during July 3–6, 2023. The 350 full papers and 29 short papers and 2 PHD showcase papers included in this volume were carefully reviewed and selected from a total of 876 submissions. These nine-volumes includes the proceedings of the following workshops: Advances in Artificial Intelligence Learning Technologies: Blended Learning, STEM, Computational Thinking and Coding (AAILT 2023); Advanced Processes of Mathematics and Computing Models in Complex Computational Systems (ACMC 2023); Artificial Intelligence supported Medical data examination (AIM 2023); Advanced and Innovative web Apps (AIWA 2023); Assessing Urban Sustainability (ASUS 2023); Advanced Data Science Techniques with applications in Industry and Environmental Sustainability (ATELIERS 2023); Advances in Web Based Learning (AWBL 2023); Blockchain and Distributed Ledgers: Technologies and Applications (BDLTA 2023); Bio and Neuro inspired Computing and Applications (BIONCA 2023); Choices and Actions for Human Scale Cities: Decision Support Systems (CAHSC-DSS 2023); and Computational and Applied Mathematics (CAM 2023).
Modern Django Web Development
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Author : Malhar Lathkar
language : en
Publisher: Springer Nature
Release Date : 2025-07-29
Modern Django Web Development written by Malhar Lathkar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-29 with Computers categories.
Django has evolved into a powerful full-stack framework ideal for developing data-driven web applications, continuously expanding with new tools for asynchronous solutions, APIs, and real-time applications. This book explores modern Django development best practices, including Django Channels for WebSockets, Django REST Framework (DRF) for REST APIs, Graphene and Strawberry for GraphQL APIs, and integrating a front-end built with React The content is structured into two main parts, covering both fundamental and advanced concepts in a practical and digestible manner. The first part introduces Django's core concepts, starting with an overview of web development and Python’s asyncio module for asynchronous processing. It then walks you through Django installation, project setup, and the admin interface. The Model-View-Template (MVT) architecture is explained in depth, with chapters on models, views, and templates, illustrating real-world examples. Additionally, it covers database interactions, introducing SQLAlchemy ORM and MongoDB integration to extend Django’s capabilities beyond its default ORM. The second part delves into advanced Django features and the broader ecosystem. Topics include authentication, security, messaging, and reusable apps such as the Django toolbar. REST API development with Django REST Framework is explored, followed by an introduction to building GraphQL APIs using Graphene and Strawberry. A dedicated chapter covers Django Channels and the WebSocket protocol for real-time applications. Modern Django Web Development concludes with integrating React to develop front-end clients for Django-based REST, GraphQL, and WebSocket APIs, enabling a full-stack development experience. You Will: Explore the full spectrum of modern Django development Learn how to use SQLAlchemy MongoDB with Django Understand Django Channels for asynchronous web apps Explore DRF for building REST API in Django Learn how to build GraphQL API with Graphene and Strawberry Understand how to develop a Django-React app Who is it for: Software developers, web developers and engineers who are interested in adding Django to their development skillset. Python Developers can also leverage the power of modern Django with the help of this practical guide.
Information And Communication Technologies
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Author : Santiago Berrezueta
language : en
Publisher: Springer Nature
Release Date : 2025-10-16
Information And Communication Technologies written by Santiago Berrezueta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-16 with Computers categories.
This book constitutes the refereed proceedings of the 13th Ecuadorian Conference on Information and Communication Technologies, TICEC 2025, held in Quito, Ecuador, during October 16–17, 2025. The 30 full papers included in this book were carefully reviewed and selected from 104 submissions. They were organized in topical sections as follows: Artificial Intelligence and Data Science; E-Learning; ICT Applications; Software; and Doctoral Consortium.
A Practical Guide To Artificial Intelligence In Higher Education Innovation And Applications
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Author : Mageswaran Sanmugam
language : en
Publisher: Springer Nature
Release Date : 2025-07-08
A Practical Guide To Artificial Intelligence In Higher Education Innovation And Applications written by Mageswaran Sanmugam and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-08 with Education categories.
This book explains how educators can use artificial intelligence in education to enhance student engagement and improve learning outcomes by sharing best practices for using AI to enhance learning quality and foster sustainable teaching. This book covers various topics related to the use of AI in education, from designing activities to using AI in teaching to using AI in assessment by following the ethical considerations of using AI in teaching. The book not only discusses the related topics to using AI in education, but also presents best practices of using AI in teaching and learning from different countries and provides best practices of ethical considerations based on lives experiences of the authors. Furthermore, the book introduces the teaching methods of integrating AI in teaching and learning. Therefore, this book offers essential information and a practical guide to using AI in education.
Building Data Apps With Streamlit
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Author : Siavash Yasini
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2026-01-13
Building Data Apps With Streamlit written by Siavash Yasini and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-01-13 with Computers categories.
Turn Python Scripts into Interactive AI-Powered Apps with Streamlit Key Features ● Build complete Streamlit apps from data exploration to deployment ● Integrate ML models and AI chatbots into interactive Python apps ● Master caching, state management, cloud deployment, and multipage architecture Book Description Streamlit has transformed how developers present data science and machine-learning work by making it effortless to turn Python scripts into interactive web applications. Building Data Apps with Streamlit provides a complete, hands-on roadmap to creating professional, production-ready apps using Streamlit’s fast, intuitive, and Pythonic framework. You begin with Streamlit’s architecture, layout system, and component ecosystem, learning how to build clean, scalable apps with widgets, callbacks, caching, and session state. The book then guides you through handling secrets, managing configurations, working with APIs and databases, and building multipage workflows that feel polished and responsive. By the end, you will build a full Streamlit solution that analyzes datasets, trains machine-learning models, and powers an AI chatbot using Google Gemini. With dedicated chapters on testing, optimization, and cloud deployment, this book equips you with the confidence and skills to create, iterate, and share high-quality Streamlit applications that bring your data and ideas to life. What you will learn ● Build interactive data apps using Streamlit’s core components ● Manage session state, caching, themes, and configurations effectively ● Connect apps to APIs, databases, and cloud services ● Integrate machine-learning workflows into Streamlit interfaces ● Create and deploy an AI chatbot using Google Gemini ● Test, deploy, and maintain Streamlit apps on the cloud Table of Contents 1. Introduction to Streamlit 2. Setting Up the Development Environment 3. Creating and Deploying Your First Streamlit App 4. Exploring Streamlit’s Flow and Architecture 5. Persisting Data and State Across App Reruns 6. Exploring Streamlit’s Page Elements 7. Widget Keys and Callbacks 8. Introduction to Streamlit Caching and Connections 9. Managing Secrets in Streamlit 10. Advanced App Management Concepts 11. App Configuration Options 12. Building Multipage Streamlit Apps 13. Testing Streamlit Apps 14. Building a Data Analysis Streamlit App 15. Building a Machine Learning Streamlit App 16. Building a Chatbot on Streamlit Index
Practical Python Backend Programming
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Author : Tim Peters
language : en
Publisher: GitforGits
Release Date : 2024-01-31
Practical Python Backend Programming written by Tim Peters and has been published by GitforGits this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-31 with Computers categories.
"Practical Python Backend Programming" is a quick pragmatic book that teaches both new and experienced developers the fundamentals of backend development with Python. All sorts of developers, from Python programmers to non-Python programmers, full stack developers, and web developers, will find what they need to know to become experts in backend programming in this entire book. The book covers key topics in backend development, including how to set up stable development environments and how to use virtual environments for better dependency management. With this book, readers will have a firm grasp of Python programming with an emphasis on backend tasks by learning the language's syntax, data structures, and functions. The book teaches you to create and launch dynamic web apps by providing an in-depth look at web frameworks such as Flask and FastAPI. It teaches SQLAlchemy for efficient data handling and advanced database integration, and it shows to improve applications with databases like PostgreSQL, MySQL, and MongoDB. Strategies for managing concurrent operations and improving performance are also covered in the book, along with asynchronous programming in Python. This book delves into various authentication methods, secure communication protocols such as HTTPS, and techniques to secure REST APIs. For efficient management of asynchronous tasks and real-time data processing, it also introduces message brokers such as RabbitMQ and Kafka. The book teaches its readers how to containerize apps and manage them on a large scale by integrating technologies like Docker and Kubernetes. It goes on to talk about how to use serverless architectures, how to use modern tools for continuous integration and deployment, and how to deploy apps to cloud platforms like AWS. Key Learnings Build dynamic web apps with strong backend logic using Flask and FastAPI. Write efficient, well-structured backend code by learning Python's syntax, functions, and best practices. Make your apps more efficient and scalable by using asynchronous programming techniques. Investigate Kubernetes and Docker to orchestrate and containerize apps for improved deployment and scalability. Use AWS's cloud services to deploy apps with guaranteed uptime and lightning-fast performance. Improve efficiency and compatibility by setting up and managing Python development environments. Enhance your data handling capabilities by learning to integrate and manipulate databases using SQLAlchemy. Protect online apps with OAuth and JWT's sophisticated authorization and authentication features. Efficiently process data in real-time and broker messages with RabbitMQ and Kafka. Streamline processes, cut down on mistakes, and implement continuous integration and deployment by following best practices. Table of Content Fundamentals of Backend Development Building Your First Web Application with Flask Advanced Flask Development Introduction to FastAPI Working with Databases Asynchronous Programming in Python User Management and Security Deploying Python Backend Applications Microservices and Cloud Integration Message Brokers and Asynchronous Task Processing
Building High Performance Web Apis With Fastapi Build Scalable And High Performance Web Apis Using Python Fastapi Pydantic And Sqlalchemy With Practical Deployment Strategies
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Author : Girish Vas
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2025-09-26
Building High Performance Web Apis With Fastapi Build Scalable And High Performance Web Apis Using Python Fastapi Pydantic And Sqlalchemy With Practical Deployment Strategies written by Girish Vas and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-26 with Computers categories.
Master FastAPI to Build Secure, High-performance Web APIs with Modern Python— from Fundamentals to Full-scale Applications. Key Features● Comprehensive coverage of FastAPI from fundamentals to deployment.● Build production-ready APIs by integrating authentication, databases, and async programming.● Practical guidance on testing, scaling, and securing APIs for production. Book DescriptionAPIs are the backbone of today’s interconnected digital world, powering everything from mobile apps to enterprise systems. Building them to be fast, scalable, and secure is critical for modern software success. Building High-Performance Web APIs with FastAPI shows you how to achieve exactly that—using Python’s cutting-edge FastAPI framework. Starting with RESTful API fundamentals and FastAPI’s core principles, you will set up your development environment, install the framework, and explore its key features. You will progress through designing and validating data models with Pydantic, implementing authentication and authorization, handling file uploads, and integrating relational databases like SQLite, PostgreSQL, and MySQL. From there, you will master testing and debugging techniques, learn deployment strategies with Docker and Kubernetes, and scale your APIs with best practices for performance and security. Real-world projects and step-by-step examples make each concept easy to grasp and apply. Thus, by the end, you will have the skills and confidence to design, build, and deploy production-ready APIs that meet today’s performance and reliability standards. Hence, whether you are a developer, architect, or engineer, Building High-Performance Web APIs with FastAPI is your roadmap to mastering high-performance API development—start building the APIs your users deserve. What you will learn● Understand FastAPI’s architecture and RESTful API principles.● Set up a complete development environment, and install FastAPI.● Design and validate request/response models with Pydantic.● Implement authentication, authorization, and file handling.● Connect to databases (SQLite, PostgreSQL, and MySQL) with SQLAlchemy.● Deploy and scale FastAPI applications, using Docker and Kubernetes.