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Sensores Industriais-Fundamentos e Aplicacoes

جلد کتاب Sensores Industriais-Fundamentos e Aplicacoes

معرفی کتاب «Sensores Industriais-Fundamentos e Aplicacoes» نوشتهٔ Abdulazeez Abdulazeez Adeshina و Daniel Thomazini, Pedro Urbano Braga de Albuquerque، منتشرشده توسط نشر 4. این کتاب در فرمت pdf، زبان pt ارائه شده است.

Discover FastAPI features and best practices for building and deploying high-quality web APIs from scratch Key Features A practical guide to developing production-ready web APIs rapidly in Python Learn how to put FastAPI into practice by implementing it in real-world scenarios Explore FastAPI, its syntax, and configurations for deploying applications Book Description RESTful web services are commonly used to create APIs for web-based applications owing to their light weight and high scalability. This book will show you how FastAPI, a high-performance web framework for building RESTful APIs in Python, allows you to build robust web APIs that are simple and intuitive and makes it easy to build quickly with very little boilerplate code. This book will help you set up a FastAPI application in no time and show you how to use FastAPI to build a REST API that receives and responds to user requests. You'll go on to learn how to handle routing and authentication while working with databases in a FastAPI application. The book walks you through the four key areas: building and using routes for create, read, update, and delete (CRUD) operations; connecting the application to SQL and NoSQL databases; securing the application built; and deploying your application locally or to a cloud environment. By the end of this book, you'll have developed a solid understanding of the FastAPI framework and be able to build and deploy robust REST APIs. What you will learn Set up a FastAPI application that is fully functional and secure Understand how to handle errors from requests and send proper responses in FastAPI Integrate and connect your application to a SQL and NoSQL (MongoDB) database Perform CRUD operations using SQL and FastAPI Manage concurrency in FastAPI applications Implement authentication in a FastAPI application Deploy a FastAPI application to any platform Who this book is for This book is for Python developers who want to learn FastAPI in a pragmatic way to create robust web APIs with ease. If you are a Django or Flask developer looking to try something new that's faster, more efficient, and produces fewer bugs, this FastAPI Python book is for you. The book assumes intermediate-level knowledge of Python programming. Table of Contents Getting Started with Fast API Routing in FastAPI Response Models and Error Handling Templating in FastAPI Structuring FastAPI Applications Connecting to a Database Securing FastAPI Applications Testing FastAPI Applications Deploying FastAPI Applications Cover Title Page Copyright and Credits Contributors Table of Contents Preface Part 1: An Introduction to FastAPI Chapter 1: Getting Started with FastAPI Technical Requirement Git basics Installing Git Git operations Git branches Creating isolated development environments with Virtualenv Creating a virtual environment Activating and deactivating the virtual environment Package management with pip Installing pip Setting up Docker Dockerfile Building a simple FastAPI application Summary Chapter 2: Routing in FastAPI Technical requirements Understanding routing in FastAPI Routing example Routing with the APIRouter class Validating request bodies using Pydantic models Nested models Path and query parameters Path parameters Query parameters Request body FastAPI Automatic Docs Building a simple CRUD app Summary Chapter 3: Response Models and Error Handling Technical requirements Understanding responses in FastAPI What is a response header? What is a response body? Status codes Building response models Error handling Summary Chapter 4: Templating in FastAPI Technical requirements Understanding Jinja Filters Using if statements Loops Macros Template inheritance Using Jinja templates in FastAPI Summary Part 2: Building and Securing FastAPI Applications Chapter 5: Structuring FastAPI Applications Technical requirements Structuring in FastAPI applications Building an event planner application Implementing the models Implementing routes Summary Chapter 6: Connecting to a Database Technical requirements Setting up SQLModel Tables Rows Sessions Creating a database Creating events Read events Update events Delete event Setting up MongoDB Document Initializing the database CRUD operations Create Read Update Delete routes/events.py routes/users.py Summary Chapter 7: Securing FastAPI Applications Technical requirements Authentication methods in FastAPI Dependency injection Creating and using a dependency Securing the application with OAuth2 and JWT Hashing passwords Creating and verifying access tokens Handling user authentication Updating the application Updating the user sign-in route Updating event routes Updating the event document class and routes Configuring CORS Summary Part 3: Testing And Deploying FastAPI Applications Chapter 8: Testing FastAPI Applications Technical requirements Unit testing with pytest Eliminating repetition with pytest fixtures Setting up our test environment Writing tests for REST API endpoints Testing the sign-up route Testing the sign-in route Testing CRUD endpoints Testing READ endpoints Testing the CREATE endpoint Testing the UPDATE endpoint Testing the DELETE endpoint Test coverage Summary Chapter 9: Deploying FastAPI Applications Technical requirements Preparing for deployment Managing dependencies Configuring environment variables Deploying with Docker Writing the Dockerfile Building the Docker image Deploying our application locally Running our application Deploying Docker images Deploying databases Summary Index Other Books You May Enjoy Discover FastAPI features and best practices for building and deploying high-quality web APIs from scratch * A practical guide to developing production-ready web APIs rapidly in Python * Learn how to put FastAPI into practice by implementing it in real-world scenarios * Explore FastAPI, its syntax, and configurations for deploying applications RESTful web services are commonly used to create APIs for web-based applications owing to their light weight and high scalability. This book will show you how FastAPI, a high-performance web framework for building RESTful APIs in Python, allows you to build robust web APIs that are simple and intuitive and makes it easy to build quickly with very little boilerplate code. By the end of this book, you'll have developed a solid understanding of the FastAPI framework and be able to build and deploy robust REST APIs. * Set up a FastAPI application that is fully functional and secure * Understand how to handle errors from requests and send proper responses in FastAPI * Integrate and connect your application to a SQL and NoSQL (MongoDB) database * Perform CRUD operations using SQL and FastAPI * Manage concurrency in FastAPI applications * Implement authentication in a FastAPI application * Deploy a FastAPI application to any platform This book is for Python developers who want to learn FastAPI in a pragmatic way to create robust web APIs with ease. If you are a Django or Flask developer looking to try something new that's faster, more efficient, and produces fewer bugs, this FastAPI Python book is for you. The book assumes intermediate-level knowledge of Python programming. 1. Getting Started with Fast API 2. Routing in FastAPI 3. Response Models and Error Handling 4. Templating in FastAPI 5. Structuring FastAPI Applications 6. Connecting to a Database 7. Securing FastAPI Applications 8. Testing FastAPI Applications 9. Deploying FastAPI Applications This book helps you kickstart API building with FastAPI, a modern and exciting framework. You'll learn how to exploit the framework's capabilities and use it to build fast, scalable web APIs on your local machine and on the cloud.
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