Fastapi Web Apis With Python

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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.

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 Apis

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Author : Robert Johnson
language : en
Publisher: HiTeX Press
Release Date : 2024-10-24

Python Apis written by Robert Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-24 with Computers categories.

"Python APIs: From Concept to Implementation" is an essential guide for anyone seeking to master the art of API development using Python. This comprehensive resource covers the fundamental concepts of APIs, unraveling their architecture, protocols, and real-world applications. With a clear focus on RESTful APIs, this book explores the design principles and best practices required to build intuitive and scalable APIs. From selecting the right data formats to implementing robust security measures, the book provides detailed insights that cater to the evolving needs of modern software development. Delving into practical applications, the book offers step-by-step guidance on utilizing popular Python frameworks like Flask and FastAPI to construct efficient APIs. Readers are taken through the entire lifecycle of API development, from documentation and testing to deployment and scaling. The inclusion of advanced topics such as asynchronous programming, integration strategies, and performance optimization ensures a comprehensive understanding. All aspects of API development are explored to prepare readers for the challenges of integrating APIs into dynamic applications and scaling them to handle increased demand. "Python APIs: From Concept to Implementation" equips beginners and seasoned developers alike with the knowledge and tools needed to create powerful, reliable, and secure APIs using Python's versatile capabilities. Whether you're building simple applications or managing complex enterprise systems, this book is your ultimate companion in achieving robust API solutions.

Systems Integration With Python 2nd Edition 2024

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Author : Diego Rodrigues
language : en
Publisher: Diego Rodrigues
Release Date : 2024-11-03

Systems Integration With Python 2nd Edition 2024 written by Diego Rodrigues and has been published by Diego Rodrigues this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-03 with Business & Economics categories.

Discover "SYSTEMS INTEGRATION WITH PYTHON 2nd Edition 2024: A Quick and Practical Guide! Essential for Students and Professionals" – your definitive resource for mastering system integration in a practical and efficient way. Whether you are a beginner or an experienced professional, this book is designed to be the indispensable tool that will take your skills to the next level. Written by Diego Rodrigues, a best-selling author with over 1800 titles published in six languages, this manual offers a comprehensive approach that covers everything from the fundamentals of integration to the most advanced practices. With clear and direct language, each chapter is structured to provide deep learning and immediate application. You will learn how to connect systems through RESTful APIs, integrate cloud services like AWS, Google Cloud, and Azure, and manage both relational and non-relational databases with Python. Additionally, the book explores messaging techniques, process automation with CI/CD, and much more, all aimed at preparing you to face the technological challenges of today and tomorrow. Open the sample of this book and see how system integration can revolutionize your practices, optimizing processes, improving efficiency, and providing a strategic vision that will boost your projects and career. Tags: system integration python APIs RESTful integration databases cloud services Flask Django FastAPI CI/CD process automation continuous microservices messaging RabbitMQ Kafka SQLAlchemy Celery NoSQL MongoDB Redis Cassandra software development automation serverless DevOps infrastructure as code systems architecture cybersecurity monitoring testing data integration ETL data pipelines cloud storage MySQL PostgreSQL SQLite Docker Kubernetes Jenkins Ansible Terraform GitHub Bitbucket Jenkinsfile PySpark Hadoop Airflow Swagger OpenAPI YAML JSON XML REST SOAP MQTT WebSockets BLE edge computing machine learning artificial intelligence AWS Google Cloud Azure databricks Python Java Linux Kali Linux HTML ASP.NET Ada Assembly Language BASIC Borland Delphi C C# C++ CSS Cobol Compilers DHTML Fortran General HTML Java JavaScript LISP PHP Pascal Perl Prolog RPG Ruby SQL Swift UML Elixir Haskell VBScript Visual Basic XHTML XML XSL Django Flask Ruby on Rails Angular React Vue.js Node.js Laravel Spring Hibernate .NET Core Express.js TensorFlow PyTorch Jupyter Notebook Keras Bootstrap Foundation jQuery SASS LESS Scala Groovy MATLAB R Objective-C Rust Go Kotlin TypeScript Elixir Dart SwiftUI Xamarin React Native NumPy Pandas SciPy Matplotlib Seaborn D3.js OpenCV NLTK PySpark BeautifulSoup Scikit-learn XGBoost CatBoost LightGBM FastAPI Celery Tornado Redis RabbitMQ Kubernetes Docker Jenkins Terraform Ansible Vagrant GitHub GitLab CircleCI Travis CI Linear Regression Logistic Regression Decision Trees Random Forests FastAPI AI ML K-Means Clustering Support Vector Tornado Machines Gradient Boosting Neural Networks LSTMs CNNs GANs ANDROID IOS MACOS WINDOWS Nmap Metasploit Framework Wireshark Aircrack-ng John the Ripper Burp Suite SQLmap Maltego Autopsy Volatility IDA Pro OllyDbg YARA Snort ClamAV iOS Netcat Tcpdump Foremost Cuckoo Sandbox Fierce HTTrack Kismet Hydra Nikto OpenVAS Nessus ZAP Radare2 Binwalk GDB OWASP Amass Dnsenum Dirbuster Wpscan Responder Setoolkit Searchsploit Recon-ng BeEF aws google cloud ibm azure databricks nvidia meta x Power BI IoT CI/CD Hadoop Spark Pandas NumPy Dask SQLAlchemy web scraping mysql big data science openai chatgpt Handler RunOnUiThread()Qiskit Q# Cassandra Bigtable VIRUS MALWARE docker kubernetes Kali Linux Nmap Metasploit Wireshark information security pen test cybersecurity Linux distributions ethical hacking vulnerability analysis system exploration wireless attacks web application security malware analysis social engineering Android iOS Social Engineering Toolkit SET computer science IT professionals cybersecurity careers cybersecurity expertise cybersecurity library cybersecurity training Linux operating systems cybersecurity tools ethical hacking tools security testing penetration test cycle security concepts mobile security cybersecurity fundamentals cybersecurity techniques cybersecurity skills cybersecurity industry global cybersecurity trends Kali Linux tools cybersecurity education cybersecurity innovation penetration test tools cybersecurity best practices global cybersecurity companies cybersecurity solutions IBM Google Microsoft AWS Cisco Oracle cybersecurity consulting cybersecurity framework network security cybersecurity courses cybersecurity tutorials Linux security cybersecurity challenges cybersecurity landscape cloud security cybersecurity threats cybersecurity compliance cybersecurity research cybersecurity technology

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.

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.

Building Generative Ai Services With Fastapi

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Author : Alireza Parandeh
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-04-15

Building Generative Ai Services With Fastapi written by Alireza Parandeh and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-15 with Computers categories.

Ready to build production-grade applications with generative AI? This practical guide takes you through designing and deploying AI services using the FastAPI web framework. Learn how to integrate models that process text, images, audio, and video while seamlessly interacting with databases, filesystems, websites, and APIs. Whether you're a web developer, data scientist, or DevOps engineer, this book equips you with the tools to build scalable, real-time AI applications. Author Alireza Parandeh provides clear explanations and hands-on examples covering authentication, concurrency, caching, and retrieval-augmented generation (RAG) with vector databases. You'll also explore best practices for testing AI outputs, optimizing performance, and securing microservices. With containerized deployment using Docker, you'll be ready to launch AI-powered applications confidently in the cloud. Build generative AI services that interact with databases, filesystems, websites, and APIs Manage concurrency in AI workloads and handle long-running tasks Stream AI-generated outputs in real time via WebSocket and server-sent events Secure services with authentication, content filtering, throttling, and rate limiting Optimize AI performance with caching, batch processing, and fine-tuning techniques Visit the Book's Website.

Python Evolved Next Gen Scripting

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Author : N.B. Singh
language : en
Publisher: N.B. Singh
Release Date :

Python Evolved Next Gen Scripting written by N.B. Singh and has been published by N.B. Singh this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

"Python Evolved: Next-Gen Scripting" offers a forward-looking perspective on Python scripting, exploring cutting-edge techniques and paradigms that push the boundaries of traditional scripting approaches. With a focus on emerging trends and technologies, this book introduces readers to advanced Python concepts, including functional programming, asynchronous programming, and reactive programming. Through practical examples and hands-on exercises, readers will learn how to harness Python's evolving ecosystem to tackle complex scripting tasks with efficiency and elegance. Whether you're a seasoned Python developer or a newcomer looking to explore the future of scripting, this book provides a roadmap to mastering the next generation of Python programming.

Fun With Python

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Author : Hubert Piotrowski
language : en
Publisher: BPB Publications
Release Date : 2025-03-02

Fun With Python written by Hubert Piotrowski and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-02 with Computers categories.

DESCRIPTION Python was a language designed to be simple and help scientists to improve the way they prepare and analyse data in their projects. Over the last two decades, it went through a bumpy ride and evolved into a very powerful language being used by so many people; from programming enthusiasts treating it as a hobby to very big enterprise companies all around the world. This book offers a practical journey through Python programming, starting with core concepts like scripting, object-oriented programming, and functional programming. You will then set up an efficient development environment and build increasingly complex projects. Create interactive applications like chatbots and voice-controlled systems, and delve into data-driven projects, including financial analysis, web scraping, and cryptocurrency trading. Explore security by building a virus detection system and a web gateway. Finally, extend your skills to mobile app development and image processing with QR code manipulation. Through hands-on projects, you will gain a versatile skillset applicable to various real-world domains. By the end of this book, you will have the skills to tackle a variety of real-world projects, you will also develop practical skills that extend beyond theoretical knowledge, enabling you to confidently apply your newfound expertise to solve complex problems and create innovative solutions in a creative way. WHAT YOU WILL LEARN ● Get started with the fundamentals of Python programming and set up your coding environment. ● Build chatbots, scrape websites for data, and create a YouTube downloader. ● Understand security and finance by learning to analyze expenses, and even make your own virus scanner. ● Develop voice-controlled apps, secure websites, and build mobile apps. ● Create programs to centralize calendars, monitor websites, and automate online shopping. ● Generate QR codes and analyze trends in digital currencies. WHO THIS BOOK IS FOR This book will target both beginners and advanced learners, aiming to teach how to use Python for modern programs. It has a structure that balances foundational concepts with advanced techniques and real-world applications. This book would be perfect for anyone looking to master Python and use it for building modern applications across a variety of domains. TABLE OF CONTENTS 1. Python 101 2. Setting up Python Environment 102 3. Designing a Conversational Chatbot 4. Developing App to Analyze Financial Expenses 5. Building Non-blocking Web Crawler 6. Create Your Own Virus Detection System 7. Create Your Own Crypto Trading Platform 8. Construct Your Own High-tech Loudspeaker 9. Make a Music and Video Downloader 10. Make A Program to Safeguard Websites 11. Centralizing All Calendars 12. Developing a Method for Monitoring Websites 13. Making a Low-cost, Fully-automated Shopping App 14. Python Goes Mobile 15. QR Generator and Reader 16. App to Keep Track of Digital Currencies

Iot Data Analytics Using Python

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Author : M S Hariharan
language : en
Publisher: BPB Publications
Release Date : 2023-10-23

Iot Data Analytics Using Python written by M S Hariharan and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-23 with Computers categories.

Harness the power of Python to analyze your IoT data KEY FEATURES ● Learn how to build an IoT Data Analytics infrastructure. ● Explore advanced techniques for IoT Data Analysis with Python. ● Gain hands-on experience applying IoT Data Analytics to real-world situations. DESCRIPTION Python is a popular programming language for data analytics, and it is also well-suited for IoT Data Analytics. By leveraging Python's versatility and its rich ecosystem of libraries and tools, Data Analytics for IoT can unlock valuable insights, enable predictive capabilities, and optimize decision-making in various IoT applications and domains. The book begins with a foundation in IoT fundamentals, its role in digital transformation, and why Python is the preferred language for IoT Data Analytics. It then covers essential data analytics concepts, how to establish an IoT Data Analytics environment, and how to design and manage real-time IoT data flows. Next, the book discusses how to implement Descriptive Analytics with Pandas, Time Series Forecasting with Python libraries, and Monitoring, Preventive Maintenance, Optimization, Text Mining, and Automation strategies. It also introduces Edge Computing and Analytics, discusses Continuous and Adaptive Learning concepts, and explores data flow and use cases for Edge Analytics. Finally, the book concludes with a chapter on IoT Data Analytics for self-driving cars, using the CRISP-DM framework for data collection, modeling, and deployment. By the end of the book, you will be equipped with the skills and knowledge needed to extract valuable insights from IoT data and build real-world applications. WHAT YOU WILL LEARN ● Explore the essentials of IoT Data Analytics and the Industry 4.0 revolution. ● Learn how to set up the IoT Data Analytics environment. ● Equip Python developers with data analysis foundations. ● Learn to build data lakes for real-time IoT data streaming. ● Learn to deploy machine learning models on edge devices. ● Understand Edge Computing with MicroPython for efficient IoT Data Analytics. WHO THIS BOOK IS FOR If you are an experienced Python developer who wants to master IoT Data Analytics, or a newcomer who wants to learn Python and its applications in IoT, this book will give you a thorough understanding of IoT Data Analytics and practical skills for real-world use cases. TABLE OF CONTENTS 1. Necessity of Analytics Across IoT 2. Up and Running with Data Analytics Fundamentals 3. Setting Up IoT Analytics Environment 4. Managing Data Pipeline and Cleaning 5. Designing Data Lake and Executing Data Transformation 6. Implementing Descriptive Analytics Using Pandas 7. Time Series Forecasting and Predictions 8. Monitoring and Preventive Maintenance 9. Model Deployment on Edge Devices 10. Understanding Edge Computing with MicroPython 11. IoT Analytics for Self-driving Vehicles