Building Python Web Apis With Fastapi

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Building Python Web Apis With Fastapi

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Author : Abdulazeez Abdulazeez Adeshina
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-07-29

Building Python Web Apis With Fastapi written by Abdulazeez Abdulazeez Adeshina and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-29 with Computers categories.

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.

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

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.

Fastapi Web Apis With Python

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Author : Boozman Richards
language : en
Publisher: Independently Published
Release Date : 2025-07-06

Fastapi Web Apis With Python written by Boozman Richards and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-06 with Computers categories.

Build lightning-fast web APIs with modern Python tools. FastAPI Web APIs with Python is a practical guide to building and deploying scalable, high-performance RESTful services using FastAPI, the modern web framework that's quickly becoming a favorite among Python developers. Whether you're creating backend services, microservices, or full-featured APIs for web and mobile apps, this book shows you how to build clean, efficient code with FastAPI's intuitive design. You'll learn how to: Set up FastAPI projects step by step Design RESTful endpoints with path and query parameters Handle requests and responses with Pydantic models Implement validation, error handling, and dependency injection Connect your APIs to databases using SQLAlchemy or async ORMs Add user authentication with OAuth2 and JWT tokens Test your APIs with built-in tools and pytest Create interactive docs automatically with Swagger and ReDoc Deploy FastAPI apps using Uvicorn, Docker, and cloud platforms With clear examples and complete code snippets, you'll go from zero to deployment-without the complexity of older frameworks. Whether you're building APIs for internal tools, public services, or client applications, FastAPI Web APIs with Python gives you everything you need to write production-ready web services that are easy to maintain and fast to run.

Python For Web Apis

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Author :
language : en
Publisher: Derek Randolph
Release Date :

Python For Web Apis written by and has been published by Derek Randolph this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

Python for Web APIs: Design, Build, and Integrate RESTful APIs Unlock the Power of Seamless Web Communication with Python! Are you ready to elevate your web development skills and create efficient, robust, and scalable web APIs? Python for Web APIs: Design, Build, and Integrate RESTful APIs is your ultimate guide to mastering the art of API development. This comprehensive resource is tailored specifically for web developers, application programmers, Python enthusiasts, hackers, and cybersecurity professionals who are eager to harness the full potential of RESTful APIs. Key Features: Comprehensive Guide: Dive deep into the world of RESTful APIs with a book that covers every aspect from design to deployment. Understand the core principles and best practices that make APIs efficient and effective. Practical Examples: Gain hands-on experience with real-world examples and step-by-step tutorials. Learn how to build APIs that are not only functional but also secure and scalable. Integration Mastery: Discover how to seamlessly integrate APIs into your existing web applications. Enhance communication between your services and create a more cohesive user experience. Security Focus: Equip yourself with the knowledge to protect your APIs from common threats. Understand the latest security measures and best practices to ensure your APIs are robust and secure. Optimized for Performance: Learn how to design APIs that perform efficiently under heavy load. Implement techniques to optimize your API’s performance, ensuring fast and reliable communication. Python-Centric Approach: Leverage the power of Python, one of the most popular programming languages, to build and manage your APIs. Benefit from Python's simplicity and versatility to create powerful APIs with ease. Why Choose Python for Web APIs? Whether you're a seasoned developer or just starting your journey in web development, this book offers invaluable insights and practical knowledge. Written in a clear and engaging style, it breaks down complex concepts into easy-to-understand steps, making it accessible to all skill levels. Join the ranks of top developers who create seamless and efficient communication between web services and applications. Empower yourself with the skills needed to build modern, reliable, and high-performance web APIs. Don't Miss Out! Transform your web development capabilities and take your projects to the next level. Get your copy of Python for Web APIs: Design, Build, and Integrate RESTful APIs today and start building the future of web communication!

Machine Learning With Lightgbm And Python

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Author : Andrich van Wyk
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-09-29

Machine Learning With Lightgbm And Python written by Andrich van Wyk and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-29 with Computers categories.

Take your software to the next level and solve real-world data science problems by building production-ready machine learning solutions using LightGBM and Python Key Features Get started with LightGBM, a powerful gradient-boosting library for building ML solutions Apply data science processes to real-world problems through case studies Elevate your software by building machine learning solutions on scalable platforms Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMachine Learning with LightGBM and Python is a comprehensive guide to learning the basics of machine learning and progressing to building scalable machine learning systems that are ready for release. This book will get you acquainted with the high-performance gradient-boosting LightGBM framework and show you how it can be used to solve various machine-learning problems to produce highly accurate, robust, and predictive solutions. Starting with simple machine learning models in scikit-learn, you’ll explore the intricacies of gradient boosting machines and LightGBM. You’ll be guided through various case studies to better understand the data science processes and learn how to practically apply your skills to real-world problems. As you progress, you’ll elevate your software engineering skills by learning how to build and integrate scalable machine-learning pipelines to process data, train models, and deploy them to serve secure APIs using Python tools such as FastAPI. By the end of this book, you’ll be well equipped to use various -of-the-art tools that will help you build production-ready systems, including FLAML for AutoML, PostgresML for operating ML pipelines using Postgres, high-performance distributed training and serving via Dask, and creating and running models in the Cloud with AWS Sagemaker.What you will learn Get an overview of ML and working with data and models in Python using scikit-learn Explore decision trees, ensemble learning, gradient boosting, DART, and GOSS Master LightGBM and apply it to classification and regression problems Tune and train your models using AutoML with FLAML and Optuna Build ML pipelines in Python to train and deploy models with secure and performant APIs Scale your solutions to production readiness with AWS Sagemaker, PostgresML, and Dask Who this book is forThis book is for software engineers aspiring to be better machine learning engineers and data scientists unfamiliar with LightGBM, looking to gain in-depth knowledge of its libraries. Basic to intermediate Python programming knowledge is required to get started with the book. The book is also an excellent source for ML veterans, with a strong focus on ML engineering with up-to-date and thorough coverage of platforms such as AWS Sagemaker, PostgresML, and Dask.

Fast Api

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Author : Corey B Audrey
language : en
Publisher: Independently Published
Release Date : 2023-01-21

Fast Api written by Corey B Audrey and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-21 with categories.

Are you ready to build fast and powerful web APIs? Look no further than Fast API: A Beginner's Guide to Building Fast and Powerful Web APIs. It covers everything you need to know about building web APIs with FastAPI, including its features, setup, and usage, as well as advanced topics such as handling errors, authentication and authorization, and deployment. It also covers building web applications with Pyramid and Dash, and shows you how to integrate them with FastAPI for additional functionality. And with detailed explanations of best practices and tips for building web applications and APIs with FastAPI, you'll be able to create high-performance, maintainable, and robust web applications in no time. This guidebook is not only an easy-to-read but also easy-to-implement instruction manual. It is filled with hands-on examples, and the integration of Pyramid and Dash frameworks makes the learning process even more enjoyable. But that's not all - it also provides you with resources for learning and developing with FastAPI, including tutorials, libraries, and community resources, so you can continue to improve your skills and stay up-to-date on the latest updates and features. The author, Corey B. Audrey is highly skilled in Java, ASP .NET MVC, and Python, and has some experience with frontend frameworks. He has a wealth of experience consulting on IT Systems, Cloud, DevOps, and Enterprise applications, and has already designed solutions for over 250 clients, many of which are Fortune 500 companies. Audrey also has experience in building laboratory information management systems (LIMS) and hybrid mobile applications as a consultant and has a unique expertise in building world-class APIs. Who is this book for: This book is for those who wish to learn about APIs, Fast API, who wish to build fast and powerful web APIs. It is perfect for developers of all levels, whether you're just starting out or looking to take your API development skills to the next level. What you'll learn in the book: To create your first API endpoint with FastAPI. Integrating both Pyramid and Dash with FastAPI to provide additional functionality and improve the performance of your web applications. TABLE OF CONTENTS Chapter 1: Introduction. 3 Chapter 2: Getting Started With Fast Api 9 Chapter 3: Advanced Features Of Fast Api 21 Chapter 4: Building Web Applications With Pyramid And Dash 29 Chapter 5: Best Practices And Tips. 37 Chapter 6: Conclusion. 43 So don't wait any longer to take your API development to the next level. Order your copy now and start building fast, powerful web APIs today!

Getting Started With Fastapi

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Author : Andrés Cruz Yoris
language : en
Publisher: Andres Cruz
Release Date :

Getting Started With Fastapi written by Andrés Cruz Yoris and has been published by Andres Cruz this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

FastAPI is a great web framework for creating web APIs with Python; It offers us multiple features with which it is possible to create modular, well-structured, scalable APIs with many options such as validations, formats, typing, among others. When you install FastAPI, two very important modules are installed: Pydantic that allows the creation of models for data validation. Starlette, which is a lightweight ASGI tooltip, used to create asynchronous (or synchronous) web services in Python. With these packages, we have the basics to create APIs, but we can easily extend a FastAPI project with other modules to provide the application with more features, such as the database, template engines, among others. FastAPI is a high-performance, easy-to-learn, start-up framework; It is ideal for creating all kinds of sites that not only consist of APIs, but we can install a template manager to return complete web pages. This book is mostly practical, we will learn the basics of FastAPI, knowing its main features based on a small application that we will extend chapter after chapter and whose content you can see below: Chapter 1: We present some essential commands to develop in FastApi , we will prepare the environment and we will give an introduction to the framework . Chapter 2: One of the main factors in FastApi is the creation of resources for the API through functions, in this section we will deal with the basics of this, introducing routing between multiple files as well as the different options for the arguments and parameters of these routes. Chapter 3: In this section, learn how to handle HTTP status codes from API methods and also handle errors/exceptions from API methods. Chapter 4: In this section we will see how to create sample data to use from the automatic documentation that FastAPI offers for each of the API methods. Chapter 5: In this chapter we will see how to implement the upload of files, knowing the different existing variants in FastAPI. Chapter 6: In this chapter we will see how to connect a FastAPI application to a relational database such as MySQL. Chapter 7: In this chapter we will see installing and using a template engine in Python, specifically Jinja, with which we can return responses in HTML format. Chapter 8: In this chapter we will see installing and using a template engine in Python, specifically Jinja, with which we can return responses in HTML format. Chapter 9: In this chapter we will learn how to use dependencies. Chapter 10: In this chapter we will see how to use middleware to intercept requests to API methods and execute some procedure before the request or after generating the response. Chapter 11: In this chapter we will see how to create a user module, to register users, login, generate access tokens and logout. Chapter 12: In this chapter we will learn about some particularities and functionalities of FastAPI such as the use of annotations and the Ellipsis operator. Chapter 13: In this chapter we will see how to implement unit tests. Chapter 14: In this chapter we will know some general aspects applied to FastAPI.

Fastapi Cookbook

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Author : Angela Nguyen
language : en
Publisher: CP Press
Release Date : 2025-08-18

Fastapi Cookbook written by Angela Nguyen and has been published by CP Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-18 with Computers categories.

FastAPI Cookbook: Practical Recipes for Building Modern Web APIs Unlock the full potential of FastAPI with this hands-on, practical guide. FastAPI Cookbook is designed for Python developers eager to build high-performance, modern web APIs with ease. Whether you’re transitioning from frameworks like Flask or Django or just starting in web development, this book provides clear, step-by-step solutions to common challenges. Inside, you’ll find ready-to-use recipes that guide you through: - Setting up a robust FastAPI development environment - Building your first API from scratch - Handling HTTP requests and responses efficiently - Integrating databases and managing data - Implementing authentication and security - Writing tests to ensure reliability - Deploying applications to the cloud Each chapter is a self-contained recipe, letting you dive directly into the topics that matter most — but for newcomers, following the book from start to finish provides a comprehensive foundation. With runnable examples and practical insights, FastAPI Cookbook turns complex concepts into approachable, real-world solutions. Whether you’re a beginner or a seasoned Python developer, this book equips you with the skills to build scalable, modern APIs that perform beautifully in production.

Building Data Science Applications With Fastapi

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Author : Francois Voron
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-10-08

Building Data Science Applications With Fastapi written by Francois Voron and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-08 with Computers categories.

Get well-versed with FastAPI features and best practices for testing, monitoring, and deployment to run high-quality and robust data science applications Key FeaturesCover the concepts of the FastAPI framework, including aspects relating to asynchronous programming, type hinting, and dependency injectionDevelop efficient RESTful APIs for data science with modern PythonBuild, test, and deploy high performing data science and machine learning systems with FastAPIBook Description FastAPI is a web framework for building APIs with Python 3.6 and its later versions based on standard Python-type hints. With this book, you'll be able to create fast and reliable data science API backends using practical examples. This book starts with the basics of the FastAPI framework and associated modern Python programming language concepts. You'll be taken through all the aspects of the framework, including its powerful dependency injection system and how you can use it to communicate with databases, implement authentication and integrate machine learning models. Later, you'll cover best practices relating to testing and deployment to run a high-quality and robust application. You'll also be introduced to the extensive ecosystem of Python data science packages. As you progress, you'll learn how to build data science applications in Python using FastAPI. The book also demonstrates how to develop fast and efficient machine learning prediction backends and test them to achieve the best performance. Finally, you'll see how to implement a real-time face detection system using WebSockets and a web browser as a client. By the end of this FastAPI book, you'll have not only learned how to implement Python in data science projects but also how to maintain and design them to meet high programming standards with the help of FastAPI. What you will learnExplore the basics of modern Python and async I/O programmingGet to grips with basic and advanced concepts of the FastAPI frameworkImplement a FastAPI dependency to efficiently run a machine learning modelIntegrate a simple face detection algorithm in a FastAPI backendIntegrate common Python data science libraries in a web backendDeploy a performant and reliable web backend for a data science applicationWho this book is for This Python data science book is for data scientists and software developers interested in gaining knowledge of FastAPI and its ecosystem to build data science applications. Basic knowledge of data science and machine learning concepts and how to apply them in Python is recommended.