The Fastapi Handbook

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The Fastapi Handbook

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Author : Robert Johnson
language : en
Publisher:
Release Date : 2025

The Fastapi Handbook written by Robert Johnson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with Computers categories.

The Fastapi Handbook

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Author : Robert Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-01-06

The Fastapi Handbook 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 2025-01-06 with Computers categories.

"The FastAPI Handbook: Simplifying Web Development with Python" is a comprehensive and accessible guide tailored for both novice and experienced developers looking to harness the power of FastAPI for building high-performance web applications. With its focus on speed, efficiency, and simplicity, FastAPI offers a modern approach to API development, leveraging Python’s type hints, asynchronous capabilities, and automatic documentation generation through OpenAPI standards. This book meticulously covers foundational to advanced concepts, providing readers with a structured pathway to understanding and utilizing FastAPI's full potential. Each chapter is crafted to build on previous topics, gradually introducing complex ideas such as dependency injection, CRUD operations, authentication, and deployment strategies. Readers will gain practical insights and hands-on experience through detailed examples and clear explanations, enabling them to construct scalable, intuitive APIs. Whether you aim to enhance your existing projects or embark on new ones, this handbook equips you with the essential skills and best practices to navigate the evolving landscape of web development confidently. Embrace the power of FastAPI and elevate your application development to new heights.

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.

Chatgpt Mastery Guide The Complete Handbook For Users In 2026

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Author : Parth
language : en
Publisher: Book Learning
Release Date : 2026-01-19

Chatgpt Mastery Guide The Complete Handbook For Users In 2026 written by Parth and has been published by Book Learning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-01-19 with Computers categories.

ChatGPT Mastery Guide 2026: Prompt Engineering, Hallucination Detection & Advanced AI Techniques ⭐ Solve ChatGPT's #1 Problems: 47% Hallucination Rate, Poor Prompting, Memory Loss & More The Only ChatGPT Guide Built from 130+ Research Sources & Real User Pain Points 40,000 words of research-backed mastery covering 14 comprehensive chapters that solve the exact problems users complain about daily on Reddit, academic journals, and forums: 🔥 PROBLEMS THIS BOOK SOLVES (Real User Complaints) ✅ 47% hallucination rate - 4 proven detection methods ✅ Ineffective prompts - DEPTH prompting framework (tested on 1,000+ prompts) ✅ Memory/context loss - Enterprise-grade conversation management ✅ Academic citation fabrication - Safe research practices that won't get you expelled ✅ Enterprise security risks - Data governance frameworks ✅ Code generation failures - Developer workflows that actually work ✅ Custom instruction confusion - Personalization mastery 🎯 WHO THIS BOOK IS FOR Students - Academic integrity protection Developers - Code generation, debugging, automation Content Creators - Scale without quality loss Entrepreneurs - Business automation mastery Enterprise Teams - Security & integration frameworks Researchers - Verification protocols 📚 WHAT YOU GET (14 Research-Backed Chapters) FOUNDATIONAL MASTERY 1. ChatGPT Real Capabilities vs. Hype 2. Prompt Engineering: DEPTH Method + 58 Techniques 3. Hallucination Detection: 4 Verification Systems 4. Custom Instructions Mastery DOMAIN-SPECIFIC DEEP DIVES 5. Context & Memory Management (Survive Feb 2025 collapse) 6. Academic Writing (What NOT to do) 7. Code Generation & Development Workflows 8. Content Creation at Scale 9. Advanced Data Analysis ENTERPRISE & ADVANCED 10. Enterprise Security & Integration 11. Building Custom GPTs (Step-by-step) 12. Troubleshooting Framework 13. ChatGPT vs. Claude/Gemini/DeepSeek 14. Future AI Collaboration Strategies 💎 WHY THIS GUIDE IS DIFFERENT Most ChatGPT books = 10K words of generic tips This guide = 40K words, 130+ research sources, real solutions to documented problems ✅ Research-backed (not theory) ✅ Current (2025-2026 ChatGPT updates) ✅ Multi-audience (6 user segments) ✅ Practical frameworks (not vague advice) ✅ Addresses actual failures (memory loss, Feb 2025 collapse) 🚀 KEY FRAMEWORKS INCLUDED DEPTH Prompting Method (1,000+ prompts tested 2025) 4-Step Hallucination Detection (47% citation accuracy fix) Memory Checkpoint System (survive context collapse) Enterprise Security Checklist (OAuth/data governance) Custom GPT Builder Template (niche automation) 📈 RESEARCH VALIDATION 47% of ChatGPT citations fabricated - This book teaches verification [Academic Study] GPT-5 hallucinates 50%+ basic facts - Detection methods included [Reddit 2025] Feb 2025 memory collapse - Recovery protocols included [User Reports] 58+ prompt techniques exist - Full taxonomy + examples [Research Paper] 🎯 SEO OPTIMIZED KEYWORDS ChatGPT mastery, prompt engineering 2026, AI hallucination detection, ChatGPT custom instructions, advanced ChatGPT techniques, ChatGPT for developers, ChatGPT academic writing, enterprise ChatGPT security, custom GPT building, ChatGPT troubleshooting ✅ PERFECT FOR: Students avoiding plagiarism accusations Developers needing reliable code generation Marketers scaling content production Entrepreneurs automating business processes Teams implementing secure AI integration 📖 40,000 Words - 130+ Sources - 14 Chapters - Practical Frameworks - Launch Price Stop struggling with ChatGPT. Master it instead. #1 Solution to ChatGPT's Real Problems - Research-Backed, Results-Driven

Python Programming Handbook

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Author : D. Sams
language : en
Publisher: Code Academy
Release Date :

Python Programming Handbook written by D. Sams and has been published by Code Academy this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

Python Programming Handbook by D. Sams is your all-in-one guide to mastering Python — one of the world’s most popular and beginner-friendly programming languages. This hands-on book starts with the basics and builds up to advanced topics like file handling, OOP, data analysis, and automation. With real-world examples, practical exercises, and clean code, readers will gain solid programming skills that can be applied to web development, data science, scripting, and more.

Fastapi

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Author : 차경묵
language : ko
Publisher: (주)도서출판길벗
Release Date : 2025-11-21

Fastapi written by 차경묵 and has been published by (주)도서출판길벗 this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-21 with Computers categories.

기획에서 출시까지! FastAPI로 실전 프로젝트 전 과정을 경험한다! 실무 흐름 그대로 따라가며 ‘약속 잡기 웹 서비스’ 만들어 보자. 서비스 개발은 단순한 코드 작성이 아니라, 기획부터 배포까지의 전 과정을 이해하고 경험하는 일이다. 이 책은 ‘약속 잡기 웹 서비스’를 직접 만들며 FastAPI를 활용한 실전 개발 흐름을 하나하나 따라간다. 서비스의 요구사항 정의부터 시작해, 테스트 주도 개발(TDD) 방식으로 백엔드를 구현하고, 미리 구현해둔 프런트엔드와의 연동, 구글 캘린더 같은 외부 서비스 통합도 다룬다. 개발한 서비스는 AWS와 깃허브 액션을 이용해 실제로 배포하고, 도메인 설정과 운영까지 경험할 수 있다. 단순히 FastAPI를 학습하는 것에 그치지 않고, 진짜 서비스를 만들며 배우는 실전형 개발 가이드로, 초보자를 위한 설명뿐만 아니라 실무 경험자에게 필요한 배포/운영까지 충실히 담았다.

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 Llm Agents With Rag Knowledge Graphs Reflection

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Author : Mira S. Devlin
language : en
Publisher: Richa Publishing Minds
Release Date :

Building Llm Agents With Rag Knowledge Graphs Reflection written by Mira S. Devlin and has been published by Richa Publishing Minds this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

Build AI That Thinks, Learns & Acts. A Complete Guide to LLM Agents, RAG Systems, Knowledge Graphs & Reflective Intelligence. Modern AI systems don’t just generate text—they retrieve facts, reason through problems, reflect on their mistakes, and take real-world action. This book shows you exactly how to design and build such intelligent, adaptive, and context-aware AI agents. Building LLM Agents with RAG, Knowledge Graphs & Reflection is a practical, deeply insightful guide for developers, researchers, and technology professionals who want to go beyond prompts and conversation models to create autonomous, multi-step, self-improving AI systems. Drawing from real architectures, hands-on examples, and cognitive design patterns, this book shows how to combine Large Language Models with retrieval systems, graph-structured knowledge, memory, and multi-agent orchestration to build AI that is factual, reliable, explainable, and capable of continuous learning. What You’ll Learn ✔ The Intelligence Core How transformers “think” using attention and tokenization Why LLMs hallucinate—and how to fix it The shift from static models to adaptive, knowledge-grounded systems ✔ Retrieval-Augmented Generation (RAG) Build systems that ground AI answers in real, up-to-date data Work with vector databases, embeddings, rerankers, and evaluation techniques Construct a practical knowledge bot step-by-step ✔ Knowledge Graphs & Structured Reasoning Represent relationships between concepts Integrate graph databases with LLMs Improve explain ability and reduce hallucination using structured knowledge ✔ Cognitive Loops & Reflection Design agents that plan, act, reflect, and self-correct Integrate long-term and short-term memory Build reflective reasoning pipelines based on modern agent frameworks Building LLM Agents with RAG, K… ✔ Multi-Agent Systems Architect teams of collaborating agents—planners, retrievers, critics, evaluators Establish communication protocols and conflict resolution Build an autonomous “AI startup team” as a working example Who This Book Is For AI developers & data scientists building real-world agentic systems Software engineers designing LLM-powered applications Researchers & practitioners exploring reasoning architecture Students & educators seeking an accessible yet rigorous foundation in agent design No advanced math or deep learning background required—only curiosity, Python basics, and a desire to build intelligent systems that go beyond conversation. Why This Book Is Different This is not just another LLM book. It is a blueprint for engineering cognition—a practical, conceptual, and implementation-focused guide designed to help you build AI that is: Grounded in real data Structured through knowledge graphs Reflective and self-improving Collaborative through multi-agent design Each chapter concludes with a hands-on Agent in Action project, where you build functioning systems and reinforce the principles learned. If You Want to Build AI That Truly Understands, Reasons & Adapts—Start Here.

Ensuring Secure And Ethical Stm Research In The Ai Era

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Author : Zangana, Hewa Majeed
language : en
Publisher: IGI Global
Release Date : 2025-05-14

Ensuring Secure And Ethical Stm Research In The Ai Era written by Zangana, Hewa Majeed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-14 with Science categories.

As artificial intelligence (AI) is integrated into scientific, technical, and medical (STM) research, ensuring security and ethical standards becomes more critical. AI tools play a transformative role in data analysis and research methods, to peer reviews and publication, raising complex questions around data privacy, algorithmic bias, intellectual property, and research integrity. The rapid pace of innovation also introduces risks like the misuse of generative models, vulnerabilities in automated systems, and challenges in maintaining transparency and accountability. To navigate this landscape, a proactive approach is essential, combining governance frameworks, interdisciplinary collaboration, and ethical oversight. By prioritizing these elements, the scientific community can harness the full potential of AI while safeguarding integrity and societal trust in STM research. Ensuring Secure and Ethical STM Research in the AI Era explores the convergence of AI, ethics, and cybersecurity within the context of STM innovation. It examines addresses the secure and ethical deployment of AI in scientific research, development, and discovery. This book covers topics such as biomedicine, cloud technology, and data privacy, and is a useful resource for business owners, computer engineers, academicians, researchers, and scientists.

Fastapi

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Author : Bill Lubanovic
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-11-06

Fastapi written by Bill Lubanovic 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 2023-11-06 with Computers categories.

FastAPI is a young yet solid framework that takes advantage of newer Python features in a clean design. As its name implies, FastAPI is indeed fast, rivaling similar frameworks in languages such as Golang. With this practical book, developers familiar with Python will learn how FastAPI lets you accomplish more in less time with less code. Author Bill Lubanovic covers the nuts and bolts of FastAPI development with how-to guides on various topics such as forms, database access, graphics, maps, and more that will take you beyond the basics. This book also includes how-to guides that will get you up to speed on RESTful APIs, data validation, authorization, and performance. With its similarities to frameworks like Flask and Django, you'll find it easy to get started with FastAPI. Through the course of this book, you will: Learn how to build web applications with FastAPI Understand the differences between FastAPI, Starlette, and pydantic Learn two features that set FastAPI apart: asynchronous functions and data type checking and validation Examine new features of Python 3.8+, especially type annotations Understand the differences between sync and async Python Learn how to connect with external APIs and services