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Fastapi Cookbook

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Fastapi Cookbook

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Author : Giunio De Luca
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-08-02

Fastapi Cookbook written by Giunio De Luca 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 2024-08-02 with Computers categories.

Enhance your web development skills, from setting up your environment and advanced integrations to building robust, high-traffic web applications with practical, scalable solutions Key Features Explore FastAPI in depth, from basic setup to advanced features such as custom middleware and WebSockets Discover practical strategies to optimize app performance and handle high traffic Implement SQL and NoSQL integration techniques for versatile data management in FastAPI applications Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionFastAPI is a cutting-edge Python framework that is revolutionizing the way web apps and APIs are built. Known for its speed, simplicity, and scalability, FastAPI empowers developers to create high-performing applications with ease. This book will help you leverage FastAPI’s immense potential to handle high-traffic scenarios and integrate seamlessly with modern Python tools. The book begins by familiarizing you with the basics of setting up and configuring your FastAPI environment before moving to the intricacies of building RESTful APIs, managing data with SQL and NoSQL databases, and handling authentication and authorization. Next, you'll focus on advanced topics such as custom middleware, WebSocket communication, and integration with various Python libraries. Each chapter is meticulously crafted with practical recipes, progressing from foundational concepts to advanced features and best practices. The concluding chapters show you how to optimize performance, implement rate limiting, and execute background tasks, empowering you to become a proficient FastAPI developer. By the end of this book, you'll have gained the skills you need to migrate existing apps to FastAPI, and be equipped to tackle any challenge in the modern web development landscape, ensuring your apps are not only functional, but also efficient, secure, and scalable.What you will learn Explore advanced FastAPI functionalities such as dependency injection, custom middleware, and WebSockets Discover various types of data storage for powerful app functionality with SQL and NoSQL Implement testing and debugging practices for clean, robust code Integrate authentication and authorization mechanisms to secure web apps Acquire skills to seamlessly migrate existing applications to FastAPI Write unit and integration tests, ensuring reliability and security for your apps Deploy your FastAPI apps to production environments for real-world use Who this book is for This book is for Python developers looking to enhance their skills to build scalable, high-performance web apps using FastAPI. Professionals seeking practical guidance to create APIs and web apps that can handle significant traffic and scale as needed will also find this book helpful by learning from both foundational insights and advanced techniques. The book is also designed for anyone familiar with RESTful APIs, HTTP protocols, and database systems, as well as developers looking to migrate existing applications to FastAPI or explore its advanced features.

Fastapi Cookbook

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Author : Giunio De Luca
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-08-02

Python Gpt Cookbook

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Author : Dr. Neil Williams
language : en
Publisher: BPB Publications
Release Date : 2025-03-19

Python Gpt Cookbook written by Dr. Neil Williams and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-19 with Computers categories.

DESCRIPTION GPT has redefined the landscape of AI, enabling the creation of powerful language models capable of diverse applications. The objective of the Python GPT Cookbook is to equip readers with practical recipes and foundational knowledge to build business solutions using GPT and Python. The book is divided into four parts. The first covers the basics, the second teaches the fundamentals of NLP, the third delves into applying GPT in various fields, and the fourth provides a conclusion. Each chapter includes recipes and practical insights to help readers deepen their understanding and apply the concepts presented. This cookbook approach delivers 78 practical recipes, including creating OpenAI accounts, utilizing playgrounds and API keys. You will learn text preprocessing, embeddings, fine-tuning, and GPT integration with Hugging Face. Learn to implement GPT using PyTorch and TensorFlow, convert models, and build authenticated actions. Applications include chatbots, email summarization, DBA copilots, and use cases in marketing, sales, IP, and manufacturing. By the end of the book, readers will have a robust understanding of GPT models and how to use them for real-world NLP tasks, along with the skills to continue exploring this powerful technology independently. WHAT YOU WILL LEARN ● Learn Python, OpenAI, TensorFlow, Hugging Face, and vector databases. ● Master Python for NLP applications and data manipulation. ● Understand and implement GPT models for various tasks. ● Integrate GPT with various architectural components, such as databases, third-party APIs, servers, and data pipelines ● Utilise NLTK, PyTorch, and TensorFlow for advanced NLP projects. ● Use Jupyter for interactive coding and data analysis. WHO THIS BOOK IS FOR The Python GPT Cookbook is for IT professionals and business innovators who already have basic Python skills. Data scientists, ML engineers, NLP engineers, and ML researchers will also find it useful. TABLE OF CONTENTS 1. Introduction to GPT 2. Crafting Your GPT Workspace 3. Pre-processing 4. Embeddings 5. Classifying Intent 6. Hugging Face and GPT 7. Vector Databases 8. GPT, PyTorch, and TensorFlow 9. Custom GPT Actions 10. Integrating GPT with the Enterprise 11. Marketing and Sales with GPT 12. Intellectual Property Management with GPT 13. GPT in Manufacturing 14. Scaling up 15. Emerging Trends and Future Directions

Elasticsearch 8 X Cookbook

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Author : Alberto Paro
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-05-27

Elasticsearch 8 X Cookbook written by Alberto Paro 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 2022-05-27 with Computers categories.

Search, analyze, store and manage data effectively with Elasticsearch 8.x Key Features • Explore the capabilities of Elasticsearch 8.x with easy-to-follow recipes • Extend the Elasticsearch functionalities and learn how to deploy on Elastic Cloud • Deploy and manage simple Elasticsearch nodes as well as complex cluster topologies Book Description Elasticsearch is a Lucene-based distributed search engine at the heart of the Elastic Stack that allows you to index and search unstructured content with petabytes of data. With this updated fifth edition, you'll cover comprehensive recipes relating to what's new in Elasticsearch 8.x and see how to create and run complex queries and analytics. The recipes will guide you through performing index mapping, aggregation, working with queries, and scripting using Elasticsearch. You'll focus on numerous solutions and quick techniques for performing both common and uncommon tasks such as deploying Elasticsearch nodes, using the ingest module, working with X-Pack, and creating different visualizations. As you advance, you'll learn how to manage various clusters, restore data, and install Kibana to monitor a cluster and extend it using a variety of plugins. Furthermore, you'll understand how to integrate your Java, Scala, Python, and big data applications such as Apache Spark and Pig with Elasticsearch and create efficient data applications powered by enhanced functionalities and custom plugins. By the end of this Elasticsearch cookbook, you'll have gained in-depth knowledge of implementing the Elasticsearch architecture and be able to manage, search, and store data efficiently and effectively using Elasticsearch. What you will learn • Become well-versed with the capabilities of X-Pack • Optimize search results by executing analytics aggregations • Get to grips with using text and numeric queries as well as relationship and geo queries • Install Kibana to monitor clusters and extend it for plugins • Build complex queries by managing indices and documents • Monitor the performance of your cluster and nodes • Design advanced mapping to take full control of index steps • Integrate Elasticsearch in Java, Scala, Python, and big data applications Who this book is for If you're a software engineer, big data infrastructure engineer, or Elasticsearch developer, you'll find this Elasticsearch book useful. The book will also help data professionals working in e-commerce and FMCG industries who use Elastic for metrics evaluation and search analytics to gain deeper insights and make better business decisions. Prior experience with Elasticsearch will help you get the most out of this book.

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.

Artificial Intelligence With Python Cookbook

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Author : Ben Auffarth
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-10-30

Artificial Intelligence With Python Cookbook written by Ben Auffarth 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 2020-10-30 with Computers categories.

Work through practical recipes to learn how to solve complex machine learning and deep learning problems using Python Key FeaturesGet up and running with artificial intelligence in no time using hands-on problem-solving recipesExplore popular Python libraries and tools to build AI solutions for images, text, sounds, and imagesImplement NLP, reinforcement learning, deep learning, GANs, Monte-Carlo tree search, and much moreBook Description Artificial intelligence (AI) plays an integral role in automating problem-solving. This involves predicting and classifying data and training agents to execute tasks successfully. This book will teach you how to solve complex problems with the help of independent and insightful recipes ranging from the essentials to advanced methods that have just come out of research. Artificial Intelligence with Python Cookbook starts by showing you how to set up your Python environment and taking you through the fundamentals of data exploration. Moving ahead, you’ll be able to implement heuristic search techniques and genetic algorithms. In addition to this, you'll apply probabilistic models, constraint optimization, and reinforcement learning. As you advance through the book, you'll build deep learning models for text, images, video, and audio, and then delve into algorithmic bias, style transfer, music generation, and AI use cases in the healthcare and insurance industries. Throughout the book, you’ll learn about a variety of tools for problem-solving and gain the knowledge needed to effectively approach complex problems. By the end of this book on AI, you will have the skills you need to write AI and machine learning algorithms, test them, and deploy them for production. What you will learnImplement data preprocessing steps and optimize model hyperparametersDelve into representational learning with adversarial autoencodersUse active learning, recommenders, knowledge embedding, and SAT solversGet to grips with probabilistic modeling with TensorFlow probabilityRun object detection, text-to-speech conversion, and text and music generationApply swarm algorithms, multi-agent systems, and graph networksGo from proof of concept to production by deploying models as microservicesUnderstand how to use modern AI in practiceWho this book is for This AI machine learning book is for Python developers, data scientists, machine learning engineers, and deep learning practitioners who want to learn how to build artificial intelligence solutions with easy-to-follow recipes. You’ll also find this book useful if you’re looking for state-of-the-art solutions to perform different machine learning tasks in various use cases. Basic working knowledge of the Python programming language and machine learning concepts will help you to work with code effectively in this book.

Flask Framework Cookbook

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Author : Shalabh Aggarwal
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-07-28

Flask Framework Cookbook written by Shalabh Aggarwal 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 2023-07-28 with Computers categories.

Design and deploy robust state-of-the-art web applications using Flask 2.x and Python 3 frameworks and libraries for streamlined development and optimal performance Purchase of the print or Kindle book includes a free PDF eBook Key Features A practical and rich companion guide for web developers, offering real-world situations and use cases to learn Flask Get the most out of the powerful Flask framework while preserving the flexibility of your design choices Write cleaner, testable, and maintainable code with the help of sample apps Book DescriptionDiscover what makes Flask, the lightweight Python web framework, popular, as you delve into its modular design that enables the development of scalable web apps. With this practical guide, you'll explore modern solutions, recommended design patterns, and best practices for Flask web development. Updated to the latest version of Flask and Python, this third edition of the Flask Framework Cookbook moves away from the outdated libraries, updates content to incorporate new coding patterns, and introduces recipes for the latest tools. You'll explore different ways to integrate with GPT to build AI-ready Flask applications. The book starts with an exploration of Flask application configurations and then guides you through working with templates and understanding the ORM and view layers. You’ll also be able to write an admin interface and get to grips with testing using the factory pattern, debugging, and logging errors. Then you’ll discover different ways of using Flask to create, deploy, and manage microservices using AWS, GCP, and Kubernetes. Finally, you’ll gain insights into various deployment and post-deployment techniques for platforms such as Apache, Tornado, and Datadog. By the end of this book, you'll have acquired the knowledge necessary to write Flask applications that cater to a wide range of use cases in the best possible way and scale them using standard industry practices.What you will learn Explore advanced templating and data modeling techniques Discover effective debugging, logging, and error-handling techniques in Flask Work with different types of databases, including RDBMS and NoSQL Integrate Flask with different technologies such as Redis, Sentry, and Datadog Deploy and package Flask applications with Docker and Kubernetes Integrate GPT with your Flask application to build future-ready platforms Implement continuous integration and continuous deployment (CI/CD) to ensure efficient and consistent updates to your Flask web applications Who this book is forIf you are a web developer seeking to expand your knowledge of developing scalable and production-ready applications in Flask, this is the book for you. It is also highly valuable if you are already aware of Flask's major extensions and want to leverage them for better application development. This book will come handy as a quick reference for specific topic on Flask, its popular extensions, or specific use cases. It assumes basic Python programming experience, as well as familiarity with web development and related terminology.

Building Python Microservices With Fastapi

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Author : Sherwin John C. Tragura
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-08-30

Building Python Microservices With Fastapi written by Sherwin John C. Tragura 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 2022-08-30 with Computers categories.

Discover the secrets of building Python microservices using the FastAPI framework Key Features Provides a reference that contains definitions, illustrations, comparative analysis, and the implementation of real-world apps Covers concepts, core details, and advanced integration and design-related topics Imparts context, app templates, suggestions, and insights that are helpful to actual projects Book DescriptionFastAPI is an Asynchronous Server Gateway Interface (ASGI)-based framework that can help build modern, manageable, and fast microservices. Because of its asynchronous core platform, this ASGI-based framework provides the best option when it comes to performance, reliability, and scalability over the WSGI-based Django and Flask. When working with Python, Flask, and Django microservices, you’ll be able to put your knowledge to work with this practical guide to building seamlessly manageable and fast microservices. You’ll begin by understanding the background of FastAPI and learning how to install, configure, and use FastAPI to decompose business units. You’ll explore a unique and asynchronous REST API framework that can provide a better option when it comes to building microservices. After that, this book will guide you on how to apply and translate microservices design patterns in building various microservices applications and RESTful APIs using the FastAPI framework. By the end of this microservices book, you’ll be able to understand, build, deploy, test, and experiment with microservices and their components using the FastAPI framework.What you will learn Understand, orient, and implement REST APIs using the basic components of the FastAPI framework Build asynchronous as well as synchronous REST services using the built-in pydantic module and asyncio support Create small-scale and large-scale microservices applications using features supported by FastAPI Build event-driven and message-driven applications using the framework Create an asynchronous and synchronous data layer with both relational and NoSQL databases Perform numerical and symbolic computations with FastAPI Who this book is for This book is for Python web developers, advanced Python developers, and backend developers using Flask or Django who want to learn how to use the FastAPI framework to implement microservices. Readers familiar with the REST API and microservices will also benefit from this book. Some parts of the book contain general concepts, processes, and instructions that intermediate-level developers and Python enthusiasts can relate to as well.

Natural Language Processing Cookbook

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Author : Rosario Moscato
language : en
Publisher: BPB Publications
Release Date : 2025-02-26

Natural Language Processing Cookbook written by Rosario Moscato and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-26 with Computers categories.

DESCRIPTION Natural language processing (NLP) is revolutionizing how machines understand and interact with human language, creating powerful applications from chatbots to text analytics. This provides a practical, hands-on approach to mastering these technologies, making complex NLP concepts accessible through step-by-step recipes and real-world examples. This book walks you through the world of teaching computers to understand human language, starting with the basics and building up to advanced techniques. You will learn how to break down text into meaningful pieces, use Python programming to handle text data, and clean up messy text for analysis. The book shows you how computers can understand the meaning behind words using methods like word embeddings and BERT. You will discover how to identify parts of speech and recognize names of people and places in text, and how to sort text into different categories using ML. Advanced topics include finding hidden themes in document collections, building chatbots that can have conversations, and creating visual representations of text data. Throughout the book, practical Python examples help you implement these techniques while considering how to evaluate and deploy real-world NLP systems. By the time you complete this book, you will possess the technical proficiency to implement complete NLP pipelines from preprocessing to deployment. The recipe-based approach ensures you can immediately apply these techniques to solve real business problems. KEY FEATURES ● Step-by-step approach for each technique, with practical examples to fully master NLP. ● Add value to your data by mastering the most important NLP techniques. ● Readily usable recipes for implementing basic tasks like data cleaning and tokenization to more complicated neural network implementations. WHAT YOU WILL LEARN ● Preprocess and clean text for accurate NLP model performance. ● Apply ML techniques for text classification tasks. ● Extract key insights using semantic analysis and embeddings. ● Develop and fine-tune topic modeling algorithms. ● Build intelligent chatbots with dialogue management and intent detection. ● Visualize text data with word clouds and entity graphs. WHO THIS BOOK IS FOR This book is ideal for data scientists, programmers, business analysts, and students with basic Python knowledge who want to build practical NLP skills. Whether you are an AI enthusiast looking to enter the field or a professional seeking to add language processing capabilities to your toolkit, you will find actionable recipes that bridge theory and application. TABLE OF CONTENTS 1. Getting Started with NLP 2. Python for Text Processing 3. Text Processing and Cleaning 4. Semantic Representation 5. Part-of-speech Tagging and Named Entity Recognition 6. Text Classification 7. Advanced Techniques for Topic Modeling 8. Building a Chatbot 9. Text Data Visualization Techniques 10. Conclusion and Takeaways

Vue Js 3 Cookbook

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Author : Heitor Ramon Ribeiro
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-09-18

Vue Js 3 Cookbook written by Heitor Ramon Ribeiro 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 2020-09-18 with Computers categories.

Explore the new features of Vue.js 3 and discover best practices for building fault-tolerant and professional frontend web applications Key FeaturesMigrate your apps from Vue.js 2 to Vue.js 3 with the help of practical recipesExplore the latest Vue.js 3 features such as reactivity API, composition API, and TypeScript supportExtend the capabilities and performance of Vue.js apps with Quasar, Vuetify, and Nuxt.js frameworksBook Description Vue.js is a progressive web framework for building professional user interfaces for your web applications. With Vue.js 3, the frontend framework is reinforced with architectural enhancements, new base languages, new render processes, and separated core components. The book starts with recipes for implementing Vue.js 3’s new features in your web development projects and migrating your existing Vue.js apps to the latest version. You will get up and running with TypeScript with Vue.js and find succinct solutions to common challenges and pitfalls faced in implementing components, derivatives, and animation, through to building plugins, adding state management, routing, and developing complete single-page applications (SPAs). As you advance, you'll discover recipes to help you integrate Vue.js apps with Nuxt.js in order to add server-side rendering capabilities to your SPAs. You'll then learn about the Vue.js ecosystem by exploring modern frameworks such as Quasar, Nuxt.js, Vuex, and Vuetify in your web projects. Finally, the book provides you with solutions for packaging and deploying your Vue.js apps. By the end of this Vue.js book, you'll be able to identify and solve challenges faced in building Vue.js applications and be able to adopt the Vue.js framework for frontend web projects of any scale. What you will learnDesign and develop large-scale web applications using Vue.js 3’s latest features Create impressive UI layouts and pages using Vuetify, Buefy, and Ant DesignExtend your Vue.js applications with dynamic form and custom rules validationAdd state management, routing, and navigation to your web appsExtend Vue.js apps to the server-side with Nuxt.jsDiscover effective techniques to deploy your web applications with NetlifyDevelop web applications, mobile applications, and desktop applications with a single code base using the Quasar frameworkWho this book is for The book is for both new and experienced Vue.js developers looking to overcome challenges in building dynamic web applications with Vue.js 3. Knowledge of JavaScript and TypeScript is assumed. A basic understanding of Vue.js will help you to make the most of this book.

Fastapi Cookbook

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