Mastering Fastapi
DOWNLOAD
Download Mastering Fastapi PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Mastering Fastapi book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
The Fastapi Handbook
DOWNLOAD
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.
Learn Fastapi
DOWNLOAD
Author : Diego Rodrigues
language : en
Publisher: StudioD21
Release Date : 2025-03-20
Learn Fastapi written by Diego Rodrigues and has been published by StudioD21 this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-20 with Business & Economics categories.
FastAPI is one of the most efficient frameworks for building modern APIs with Python, widely used by companies like Microsoft, Uber, and Netflix due to its high performance and native support for static typing and asynchronous operations. This book provides a comprehensive guide, from installation and initial setup to the implementation of scalable and secure APIs for real-world applications. The content covers project structuring with APIRouter, advanced request handling, authentication with JWT and OAuth2, integration with PostgreSQL, MySQL, and MongoDB, and performance optimization with Redis and Memcached. It also includes essential techniques for efficient deployment on cloud services like AWS Lambda, Google Cloud Run, and Azure Functions, test automation with Pytest, and monitoring with Prometheus and Grafana. Each chapter follows the TECHWRITE 2.1 methodology, combining structured theory and practice, with explanatory code, best practices, and solutions for common errors. Whether developing REST APIs, microservices, or real-time applications with WebSockets, this book provides the necessary tools to apply FastAPI in robust and scalable projects. Ideal for developers looking to build modern APIs and optimize workflows, LEARN FastAPI: From Fundamentals to Practical Applications is a technical and objective guide for professional use of the framework. TAGS: Python Java Linux Kali HTML ASP.NET Ada Assembly BASIC Borland Delphi C C# C++ CSS Cobol Compilers DHTML Fortran General 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 Dart SwiftUI Xamarin React Native NumPy Pandas SciPy Matplotlib Seaborn D3.js OpenCV NLTK PySpark BeautifulSoup Scikit-learn XGBoost CatBoost LightGBM FastAPI Redis RabbitMQ Kubernetes Docker Jenkins Terraform Ansible Vagrant GitHub GitLab CircleCI Regression Logistic Regression Decision Trees Random Forests chatgpt grok AI ML K-Means Clustering Support Vector 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 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 Power BI IoT CI/CD Hadoop Spark Dask SQLAlchemy Web Scraping MySQL Big Data Science OpenAI ChatGPT Handler RunOnUiThread() Qiskit Q# Cassandra Bigtable VIRUS MALWARE Information Pen Test Cybersecurity Linux Distributions Ethical Hacking Vulnerability Analysis System Exploration Wireless Attacks Web Application Security Malware Analysis Social Engineering Social Engineering Toolkit SET Computer Science IT Professionals Careers Expertise Library Training Operating Systems Security Testing Penetration Test Cycle Mobile Techniques Industry Global Trends Tools Framework Network Security Courses Tutorials Challenges Landscape Cloud Threats Compliance Research Technology Flutter Ionic Web Views Capacitor APIs REST GraphQL Firebase Redux Provider Bitrise Actions Material Design Cupertino Fastlane Appium Selenium Jest Visual Studio AR VR sql deepseek mysql startup digital marketing
Mastering Flask Web And Api Development
DOWNLOAD
Author : Sherwin John C. Tragura
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-08-16
Mastering Flask Web And Api Development 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 2024-08-16 with Computers categories.
Discover how to construct API and web components, build enterprise-grade applications, design and implement unit and behavioral testing, and plan deployment strategies for scalable Flask 3 applications Key Features Implement web and API applications using both standard and asynchronous Flask components Improve your dev experience with signals, route decorators, async/await design patterns, context managers, and nested blueprints Tie all the features together in each chapter through practical, relatable applications Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionFlask is a popular Python framework known for its lightweight and modular design. Mastering Flask Web and API Development will take you on an exhaustive tour of the Flask environment and teach you how to build a production-ready application. You’ll start by installing Flask and grasping fundamental concepts, such as MVC and ORM database access. Next, you’ll master structuring applications for scalability through Flask blueprints. As you progress, you’ll explore both SQL and NoSQL databases while creating REST APIs and implementing JWT authentication, and improve your skills in role-based access security, utilizing LDAP, OAuth, OpenID, and databases. The new project structure, managed by context managers, as well as ASGI support, has revolutionized Flask, and you’ll get to grips with these crucial upgrades. You'll also explore out-of-the-box integrations with technologies, such as RabbitMQ, Celery, NoSQL databases, PostgreSQL, and various external modules. The concluding chapters discuss enterprise-related challenges where Flask proves its mettle as a core solution. By the end of this book, you’ll be well-versed with Flask, seeing it not only as a lightweight web and API framework, but also as a potent problem-solving tool in your daily work, addressing integration and enterprise issues alongside Django and FastAPI.What you will learn Prepare, set up, and configure development environments for both API and web applications Explore built-in serializers and encoders that processes request and response data Solve big data issues by integrating Flask applications with NoSQL databases Apply various ORM and ODM techniques to build model and repository layers Integrate with OpenAPI, Circuit Breaker, ZooKeeper, and OpenTracing to build scalable API applications Use Flask middleware to provide CRUD transactions for Flutter-based mobile applications Who this book is for This book is for proficient Python developers seeking a deeper understanding of the Flask framework as a solution for tackling enterprise challenges. It is also a great resource for Flask-savvy readers eager to learn more about the framework’s advanced capabilities and new features.
Fastapi Cookbook
DOWNLOAD
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 Essentials
DOWNLOAD
Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-17
Fastapi Essentials written by Richard 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 2025-06-17 with Computers categories.
"FastAPI Essentials" "FastAPI Essentials" is the definitive guide for professionals and advanced practitioners seeking to master modern API development with FastAPI. Meticulously structured, the book illuminates every critical architectural dimension of FastAPI, from the asynchronous foundations provided by ASGI to pragmatic techniques for project scalability, dependency injection, and robust data modeling with Python type hints. Readers gain insight into best practices for middleware customization, lifecycle management, and advanced routing strategies — laying the groundwork for scalable, production-ready APIs. The book ventures deeply into advanced topics, covering everything from nuanced data validation with Pydantic, dynamic parsing strategies, and optimal serialization, to securing enterprise environments with OAuth2, JWT, RBAC, and state-of-the-art transport-level encryption. Readers will discover proven approaches to persistence, with coverage of SQL, NoSQL, and NewSQL datastores, seamless ORM integration, automated migrations, and effective caching. Rich sections on performance engineering empower readers to tune ASGI servers, implement background tasks and rate limiting, and build real-time features with WebSockets. Operational excellence is a central theme, as the book explores contemporary deployment pipelines, Docker and Kubernetes best practices, and integrated observability—spanning logging, metrics, and distributed tracing. Comprehensive chapters on automated testing, CI/CD, and DevOps ensure API reliability and maintainability at scale. Supplemented by coverage of multi-tenancy, event-driven integration patterns, GraphQL, plugin architectures, and service mesh deployments, "FastAPI Essentials" is an indispensable resource for any organization building mission-critical APIs with FastAPI.
Mastering Spacy
DOWNLOAD
Author : Déborah Mesquita
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-02-14
Mastering Spacy written by Déborah Mesquita 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 2025-02-14 with Computers categories.
Discover how to master advanced spaCy techniques, including custom pipelines, LLM integration, and model training, to build NLP solutions efficiently and effectively Key Features Build End-to-End NLP Workflows, From Local Development to Production with Weasel and FastAPI Master No-Training NLP Development with spaCy-LLM, From Prompt Engineering to Custom Tasks Create Advanced NLP Solutions, From Custom Components to Neural Coreference Resolution Book Description Mastering spaCy, Second Edition is your comprehensive guide to building sophisticated NLP applications using the spaCy ecosystem. This revised edition embraces the latest advancements in NLP, featuring new chapters on Large Language Models with spaCy-LLM, transformers integration, and end-to-end workflow management with Weasel. With this new edition you’ll learn to enhance NLP tasks using LLMs with spaCy-llm, manage end-to-end workflows using Weasel and integrating spaCy with third-party libraries like Streamlit, FastAPI, and DVC. From training custom named entity recognition (NER) pipelines to categorizing emotions in Reddit posts, readers will explore advanced topics like text classification and coreference resolution. This book takes you on a journey through spaCy’s capabilities, starting with the fundamentals of NLP, such as tokenization, named entity recognition, and dependency parsing. As you progress, you’ll delve into advanced topics like creating custom components, training domain-specific models, and building scalable NLP workflows. By end of the book, through practical examples, clear explanations, tips and tricks you will be empowered to build robust NLP pipelines and integrate them with web applications to build end-to-end solutions. What will you learn Apply transformer models and fine-tune them for specialized NLP tasks Master spaCy core functionalities including data structures and processing pipelines Develop custom pipeline components and semantic extractors for domain-specific needs Build scalable applications by integrating spaCy with FastAPI, Streamlit, and DVC Master advanced spaCy features including coreference resolution and neural pipeline components Train domain-specific models, including NER and coreference resolution Prototype rapidly with spaCy-LLM and develop custom LLM tasks Who this book is for This book is tailored for NLP engineers, machine learning developers, and LLM engineers looking to build production-grade language processing solutions. While primarily targeting professionals working with language models and NLP pipelines, it's also valuable for software engineers transitioning into NLP development. Basic Python programming knowledge and familiarity with NLP concepts is recommended to leverage spaCy's latest capabilities.
Mastering Transformers
DOWNLOAD
Author : Savaş Yıldırım
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-06-03
Mastering Transformers written by Savaş Yıldırım 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 2024-06-03 with Computers categories.
Explore transformer-based language models from BERT to GPT, delving into NLP and computer vision tasks, while tackling challenges effectively Key Features Understand the complexity of deep learning architecture and transformers architecture Create solutions to industrial natural language processing (NLP) and computer vision (CV) problems Explore challenges in the preparation process, such as problem and language-specific dataset transformation Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionTransformer-based language models such as BERT, T5, GPT, DALL-E, and ChatGPT have dominated NLP studies and become a new paradigm. Thanks to their accurate and fast fine-tuning capabilities, transformer-based language models have been able to outperform traditional machine learning-based approaches for many challenging natural language understanding (NLU) problems. Aside from NLP, a fast-growing area in multimodal learning and generative AI has recently been established, showing promising results. Mastering Transformers will help you understand and implement multimodal solutions, including text-to-image. Computer vision solutions that are based on transformers are also explained in the book. You’ll get started by understanding various transformer models before learning how to train different autoregressive language models such as GPT and XLNet. The book will also get you up to speed with boosting model performance, as well as tracking model training using the TensorBoard toolkit. In the later chapters, you’ll focus on using vision transformers to solve computer vision problems. Finally, you’ll discover how to harness the power of transformers to model time series data and for predicting. By the end of this transformers book, you’ll have an understanding of transformer models and how to use them to solve challenges in NLP and CV.What you will learn Focus on solving simple-to-complex NLP problems with Python Discover how to solve classification/regression problems with traditional NLP approaches Train a language model and explore how to fine-tune models to the downstream tasks Understand how to use transformers for generative AI and computer vision tasks Build transformer-based NLP apps with the Python transformers library Focus on language generation such as machine translation and conversational AI in any language Speed up transformer model inference to reduce latency Who this book is for This book is for deep learning researchers, hands-on practitioners, and ML/NLP researchers. Educators, as well as students who have a good command of programming subjects, knowledge in the field of machine learning and artificial intelligence, and who want to develop apps in the field of NLP as well as multimodal tasks will also benefit from this book’s hands-on approach. Knowledge of Python (or any programming language) and machine learning literature, as well as a basic understanding of computer science, are required.
Python Coding Mastery
DOWNLOAD
Author : Barrett Williams
language : en
Publisher: Barrett Williams
Release Date : 2025-05-31
Python Coding Mastery written by Barrett Williams and has been published by Barrett Williams this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-31 with Computers categories.
Unlock the full potential of Python and transform your coding journey with "Python Coding Mastery." This comprehensive guide takes you from the basics to advanced concepts, equipping you with all the tools you need to become a proficient Python programmer. Whether you're a beginner looking to build a strong foundation or an experienced coder aiming to enhance your skills, this ebook serves as your essential resource. Start with a deep dive into Python's origins and set up the perfect environment to nourish your coding skills. Master the nuances of Python syntax and semantics, and get comfortable with basic concepts like variables, data types, and control flow. Progress through expertly crafted sections on functions, data structures, and object-oriented programming, unraveling the intricacies of each as you advance. Delve into advanced Python concepts, exploring decorators and generators while mastering file handling and the powerful standard libraries. Sharpen your problem-solving skills with regular expressions, and embrace the art of testing and debugging. For those interested in data science, discover the capabilities of NumPy, Pandas, and Matplotlib, and for web development enthusiasts, gain insights into Flask, Django, and FastAPI. Expand your automation toolkit with chapters on scripting, web scraping, and browser automation, and explore the realm of concurrency to handle complex tasks efficiently. Learn how to package and distribute your work, adhering to best practices that ensure clean, maintainable code. "Python Coding Mastery" is not just a book; it's your gateway to a thriving Python community. With key takeaways and resources for ongoing learning, this ebook supports you in achieving coding excellence. Embark on your Python programming journey today and discover the endless possibilities awaiting you.
Mastering Design Patterns For Layered Testing Master Strategic Test Design Enhance Automation And Integrate Ci Cd Seamlessly Across Api And Ui Layers With Python
DOWNLOAD
Author : Manish Saini
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2025-04-19
Mastering Design Patterns For Layered Testing Master Strategic Test Design Enhance Automation And Integrate Ci Cd Seamlessly Across Api And Ui Layers With Python written by Manish Saini 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 2025-04-19 with Computers categories.
Master Layered Test Automation and Build Integrate and Deploy with Confidence Key Features● Implement automated testing across UI, API, and backend for robust coverage● Seamlessly integrate test automation with CI/CD pipelines for efficiency● Master advanced testing strategies for microservices and distributed systems Book DescriptionIn today’s fast-paced software development landscape, ensuring application quality requires a strategic approach to test automation. Mastering Design Patterns for Layered Testing empowers you with the knowledge and tools to design, implement, and optimize automation across UI, API, and backend layers using Python’s powerful ecosystem. Starting with foundational concepts like test design patterns and the Test Pyramid, the book delves into practical implementations of unit testing, integration testing, API testing, and contract testing. You’ll learn how to integrate automated tests into CI/CD pipelines using GitHub Actions, generate detailed test reports with Allure, and address modern testing challenges such as microservices and containerized environments. Real-world case studies illustrate how to apply these techniques in production settings. A dedicated chapter on Generative AI in testing explores its applications in test case generation and test data creation. Whether you're an intermediate tester looking to enhance your automation skills or an experienced professional seeking to learn advanced strategies, this book provides the expertise needed to build scalable and reliable test automation frameworks that drive software quality and efficiency. Stay ahead of the curve—master next-gen test automation before it’s too late! What you will learn● Design and implement scalable test automation across all application layers● Build robust test frameworks using Python’s advanced testing ecosystem● Seamlessly integrate automated tests into modern CI/CD pipelines● Apply advanced testing patterns for APIs, microservices, and UI components● Utilize contract testing and performance testing for reliable applications● Leverage Generative AI to enhance test coverage and efficiency
Mastering Large Language Models With Python Unleash The Power Of Advanced Natural Language Processing For Enterprise Innovation And Efficiency Using Large Language Models Llms With Python
DOWNLOAD
Author : Raj Arun
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2024-04-12
Mastering Large Language Models With Python Unleash The Power Of Advanced Natural Language Processing For Enterprise Innovation And Efficiency Using Large Language Models Llms With Python written by Raj Arun 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 2024-04-12 with Computers categories.
A Comprehensive Guide to Leverage Generative AI in the Modern Enterprise Key Features● Gain a comprehensive understanding of LLMs within the framework of Generative AI, from foundational concepts to advanced applications. ● Dive into practical exercises and real-world applications, accompanied by detailed code walkthroughs in Python. ● Explore LLMOps with a dedicated focus on ensuring trustworthy AI and best practices for deploying, managing, and maintaining LLMs in enterprise settings. Book Description “Mastering Large Language Models with Python” is an indispensable resource that offers a comprehensive exploration of Large Language Models (LLMs), providing the essential knowledge to leverage these transformative AI models effectively. From unraveling the intricacies of LLM architecture to practical applications like code generation and AI-driven recommendation systems, readers will gain valuable insights into implementing LLMs in diverse projects. Covering both open-source and proprietary LLMs, the book delves into foundational concepts and advanced techniques, empowering professionals to harness the full potential of these models. Detailed discussions on quantization techniques for efficient deployment, operational strategies with LLMOps, and ethical considerations ensure a well-rounded understanding of LLM implementation. Through real-world case studies, code snippets, and practical examples, readers will navigate the complexities of LLMs with confidence, paving the way for innovative solutions and organizational growth. Whether you seek to deepen your understanding, drive impactful applications, or lead AI-driven initiatives, this book equips you with the tools and insights needed to excel in the dynamic landscape of artificial intelligence. What you will learn ● In-depth study of LLM architecture and its versatile applications across industries. ● Harness open-source and proprietary LLMs to craft innovative solutions. ● Implement LLM APIs for a wide range of tasks spanning natural language processing, audio analysis, and visual recognition. ● Optimize LLM deployment through techniques such as quantization and operational strategies like LLMOps, ensuring efficient and scalable model usage. Table of Contents 1. The Basics of Large Language Models and Their Applications 2. Demystifying Open-Source Large Language Models 3. Closed-Source Large Language Models 4. LLM APIs for Various Large Language Model Tasks 5. Integrating Cohere API in Google Sheets 6. Dynamic Movie Recommendation Engine Using LLMs 7. Document-and Web-based QA Bots with Large Language Models 8. LLM Quantization Techniques and Implementation 9. Fine-tuning and Evaluation of LLMs 10. Recipes for Fine-Tuning and Evaluating LLMs 11. LLMOps - Operationalizing LLMs at Scale 12. Implementing LLMOps in Practice Using MLflow on Databricks 13. Mastering the Art of Prompt Engineering 14. Prompt Engineering Essentials and Design Patterns 15. Ethical Considerations and Regulatory Frameworks for LLMs 16. Towards Trustworthy Generative AI (A Novel Framework Inspired by Symbolic Reasoning) Index