FastAPI Cookbook

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Publisher : Packt Publishing Ltd
ISBN 13 : 1805127853
Total Pages : 386 pages
Book Rating : 4.8/5 (51 download)

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Book Synopsis FastAPI Cookbook by : Giunio De Luca

Download or read book FastAPI Cookbook written by Giunio De Luca and published by Packt Publishing Ltd. This book was released on 2024-08-02 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 :
Publisher : Packt Publishing Ltd
ISBN 13 : 1805129775
Total Pages : 358 pages
Book Rating : 4.8/5 (51 download)

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Book Synopsis FastAPI Cookbook by : Giunio De Luca

Download or read book FastAPI Cookbook written by Giunio De Luca and published by Packt Publishing Ltd. This book was released on 2024-08-02 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Building Data Science Applications with FastAPI

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1801074186
Total Pages : 426 pages
Book Rating : 4.8/5 (1 download)

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Book Synopsis Building Data Science Applications with FastAPI by : Francois Voron

Download or read book Building Data Science Applications with FastAPI written by Francois Voron and published by Packt Publishing Ltd. This book was released on 2021-10-08 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get well-versed with FastAPI features and best practices for testing, monitoring, and deployment to run high-quality and robust data science applications Key FeaturesCover the concepts of the FastAPI framework, including aspects relating to asynchronous programming, type hinting, and dependency injectionDevelop efficient RESTful APIs for data science with modern PythonBuild, test, and deploy high performing data science and machine learning systems with FastAPIBook Description FastAPI is a web framework for building APIs with Python 3.6 and its later versions based on standard Python-type hints. With this book, you'll be able to create fast and reliable data science API backends using practical examples. This book starts with the basics of the FastAPI framework and associated modern Python programming language concepts. You'll be taken through all the aspects of the framework, including its powerful dependency injection system and how you can use it to communicate with databases, implement authentication and integrate machine learning models. Later, you'll cover best practices relating to testing and deployment to run a high-quality and robust application. You'll also be introduced to the extensive ecosystem of Python data science packages. As you progress, you'll learn how to build data science applications in Python using FastAPI. The book also demonstrates how to develop fast and efficient machine learning prediction backends and test them to achieve the best performance. Finally, you'll see how to implement a real-time face detection system using WebSockets and a web browser as a client. By the end of this FastAPI book, you'll have not only learned how to implement Python in data science projects but also how to maintain and design them to meet high programming standards with the help of FastAPI. What you will learnExplore the basics of modern Python and async I/O programmingGet to grips with basic and advanced concepts of the FastAPI frameworkImplement a FastAPI dependency to efficiently run a machine learning modelIntegrate a simple face detection algorithm in a FastAPI backendIntegrate common Python data science libraries in a web backendDeploy a performant and reliable web backend for a data science applicationWho this book is for This Python data science book is for data scientists and software developers interested in gaining knowledge of FastAPI and its ecosystem to build data science applications. Basic knowledge of data science and machine learning concepts and how to apply them in Python is recommended.

Elasticsearch 8.x Cookbook

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Publisher : Packt Publishing Ltd
ISBN 13 : 1801072884
Total Pages : 750 pages
Book Rating : 4.8/5 (1 download)

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Book Synopsis Elasticsearch 8.x Cookbook by : Alberto Paro

Download or read book Elasticsearch 8.x Cookbook written by Alberto Paro and published by Packt Publishing Ltd. This book was released on 2022-05-27 with total page 750 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

FastAPI

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098135466
Total Pages : 244 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis FastAPI by : Bill Lubanovic

Download or read book FastAPI written by Bill Lubanovic and published by "O'Reilly Media, Inc.". This book was released on 2023-11-06 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Building Python Microservices with FastAPI

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Publisher : Packt Publishing Ltd
ISBN 13 : 1803238798
Total Pages : 420 pages
Book Rating : 4.8/5 (32 download)

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Book Synopsis Building Python Microservices with FastAPI by : Sherwin John C. Tragura

Download or read book Building Python Microservices with FastAPI written by Sherwin John C. Tragura and published by Packt Publishing Ltd. This book was released on 2022-08-30 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Building Python Web APIs with FastAPI

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1801074518
Total Pages : 216 pages
Book Rating : 4.8/5 (1 download)

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Book Synopsis Building Python Web APIs with FastAPI by : Abdulazeez Abdulazeez Adeshina

Download or read book Building Python Web APIs with FastAPI written by Abdulazeez Abdulazeez Adeshina and published by Packt Publishing Ltd. This book was released on 2022-07-29 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence with Python Cookbook

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Publisher : Packt Publishing Ltd
ISBN 13 : 1789137969
Total Pages : 459 pages
Book Rating : 4.7/5 (891 download)

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Book Synopsis Artificial Intelligence with Python Cookbook by : Ben Auffarth

Download or read book Artificial Intelligence with Python Cookbook written by Ben Auffarth and published by Packt Publishing Ltd. This book was released on 2020-10-30 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Building Data Science Applications with FastAPI - Second Edition

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Author :
Publisher :
ISBN 13 : 9781837632749
Total Pages : 0 pages
Book Rating : 4.6/5 (327 download)

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Book Synopsis Building Data Science Applications with FastAPI - Second Edition by : François Voron

Download or read book Building Data Science Applications with FastAPI - Second Edition written by François Voron and published by . This book was released on 2023-07-31 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn all the features and best practices of FastAPI to build, deploy, and monitor powerful data science and AI apps, like object detection or image generation.Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesUncover the secrets of FastAPI, including async I/O, type hinting, and dependency injectionLearn to add authentication, authorization, and interaction with databases in a FastAPI backendDevelop real-world projects using pre-trained AI modelsBook DescriptionBuilding Data Science Applications with FastAPI is the go-to resource for creating efficient and dependable data science API backends. This second edition incorporates the latest Python and FastAPI advancements, along with two new AI projects - a real-time object detection system and a text-to-image generation platform using Stable Diffusion. The book starts with the basics of FastAPI and modern Python programming. You'll grasp FastAPI's robust dependency injection system, which facilitates seamless database communication, authentication implementation, and ML model integration. As you progress, you'll learn testing and deployment best practices, guaranteeing high-quality, resilient applications. Throughout the book, you'll build data science applications using FastAPI with the help of projects covering common AI use cases, such as object detection and text-to-image generation. These hands-on experiences will deepen your understanding of using FastAPI in real-world scenarios. By the end of this book, you'll be well equipped to maintain, design, and monitor applications to meet the highest programming standards using FastAPI, empowering you to create fast and reliable data science API backends with ease while keeping up with the latest advancements.What you will learnExplore the basics of modern Python and async I/O programmingGet to grips with basic and advanced concepts of the FastAPI frameworkDeploy a performant and reliable web backend for a data science applicationIntegrate common Python data science libraries into a web backendIntegrate an object detection algorithm into a FastAPI backendBuild a distributed text-to-image AI system with Stable DiffusionAdd metrics and logging and learn how to monitor themWho this book is forThis book is for data scientists and software developers interested in gaining knowledge of FastAPI and its ecosystem to build data science applications. Basic knowledge of data science and machine learning concepts and how to apply them in Python is recommended.

Flask Framework Cookbook

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1804610003
Total Pages : 318 pages
Book Rating : 4.8/5 (46 download)

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Book Synopsis Flask Framework Cookbook by : Shalabh Aggarwal

Download or read book Flask Framework Cookbook written by Shalabh Aggarwal and published by Packt Publishing Ltd. This book was released on 2023-07-28 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Plant Paradox Family Cookbook

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Author :
Publisher : HarperCollins
ISBN 13 : 0062911848
Total Pages : 435 pages
Book Rating : 4.0/5 (629 download)

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Book Synopsis The Plant Paradox Family Cookbook by : Dr. Steven R. Gundry, MD

Download or read book The Plant Paradox Family Cookbook written by Dr. Steven R. Gundry, MD and published by HarperCollins. This book was released on 2019-11-19 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the New York Times bestselling author of The Plant Paradox comes a guide to one-pot cooking for the whole family, with a special focus how to make the Plant Paradox program kid-friendly. Since the publication of The Plant Paradox in 2017, hundreds of thousands of people have embraced Dr. Gundry’s nutritional protocol—and experienced life-changing results. But most of Dr. Gundry’s readers aren’t cooking for themselves alone. “How can I extend this way of eating to my entire family? And is it safe for my kids?” are the questions he is most often asked. In The Plant Paradox Family Cookbook, Dr. Gundry reassures parents as he sets the record straight, providing an overview of children’s nutritional needs and explaining how we can help our kids thrive on the Plant Paradox program—a diet low in lectins. Dr. Gundry offers shocking evidence of how the Plant Paradox program is not only “safe” for kids, but also the best possible way to set them up for a lifetime of health and responsible eating. As research continues to bear out, a healthy microbiome—or “gut”—is the cornerstone of human health. The foods we eat at the beginning of our lives have a long-term impact on the makeup of our microbiome. Lectin-containing foods—such as grains, legumes, certain fruits and vegetables, and conventional dairy—damage it by creating holes in the gut wall and triggering the kind of systemic inflammation that lays the groundwork for disease. And yet, many of the foods we are routinely told to feed our children—think milk, whole grain bread, peanut butter—have an incredibly high lectin content. The Plant Paradox Family Cookbook includes more than 80 recipes that make cooking for a family a breeze. And since pressure cooking is the best and easiest way to reduce lectin content in foods like grains and beans, the majority of the quick and easy recipes are Instant-Pot friendly. From weeknight dinners to make-ahead breakfasts to snacks and even lunchbox-ready meals, The Plant Paradox Family Cookbook will help the whole family experience the incredible benefits of the Plant Paradox program.

Scikit-learn Cookbook

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Author :
Publisher :
ISBN 13 : 9781783989492
Total Pages : 0 pages
Book Rating : 4.9/5 (894 download)

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Book Synopsis Scikit-learn Cookbook by : Trent Hauck

Download or read book Scikit-learn Cookbook written by Trent Hauck and published by . This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you're a data scientist already familiar with Python but not Scikit-Learn, or are familiar with other programming languages like R and want to take the plunge with the gold standard of Python machine learning libraries, then this is the book for you.

Machine Learning with Python Cookbook

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098135695
Total Pages : 416 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Machine Learning with Python Cookbook by : Kyle Gallatin

Download or read book Machine Learning with Python Cookbook written by Kyle Gallatin and published by "O'Reilly Media, Inc.". This book was released on 2023-07-27 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems, from loading data to training models and leveraging neural networks. Each recipe in this updated edition includes code that you can copy, paste, and run with a toy dataset to ensure that it works. From there, you can adapt these recipes according to your use case or application. Recipes include a discussion that explains the solution and provides meaningful context. Go beyond theory and concepts by learning the nuts and bolts you need to construct working machine learning applications. You'll find recipes for: Vectors, matrices, and arrays Working with data from CSV, JSON, SQL, databases, cloud storage, and other sources Handling numerical and categorical data, text, images, and dates and times Dimensionality reduction using feature extraction or feature selection Model evaluation and selection Linear and logical regression, trees and forests, and k-nearest neighbors Supporting vector machines (SVM), naäve Bayes, clustering, and tree-based models Saving, loading, and serving trained models from multiple frameworks

Flask Framework Cookbook

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1783983418
Total Pages : 418 pages
Book Rating : 4.7/5 (839 download)

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Book Synopsis Flask Framework Cookbook by : Shalabh Aggarwal

Download or read book Flask Framework Cookbook written by Shalabh Aggarwal and published by Packt Publishing Ltd. This book was released on 2014-11-21 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you are a web developer who wants to learn more about developing applications in Flask and scale them with industry-standard practices, this is the book for you. This book will also act as a handy tool if you are aware of Flask's major extensions and want to make the best use of them. It is assumed that you have knowledge of Python and a basic understanding of Flask. If you are completely new to Flask, reading the book from the first chapter and going forward will help in getting acquainted with Flask as you go ahead.

Flask Framework Cookbook

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1789953162
Total Pages : 291 pages
Book Rating : 4.7/5 (899 download)

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Book Synopsis Flask Framework Cookbook by : Shalabh Aggarwal

Download or read book Flask Framework Cookbook written by Shalabh Aggarwal and published by Packt Publishing Ltd. This book was released on 2019-07-17 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build state-of-the-art web applications quickly and efficiently using Flask and related technologies with Python 3 Key FeaturesUpdated to Flask 1.0.3 and Python 3.7 with coverage of MicroservicesGet the most out of the powerful Flask framework and maintain the flexibility of your design choicesWrite cleaner and maintainable code with the help of sample appsBook Description Flask, the lightweight Python web framework, is popular due to its powerful modular design that lets you build scalable web apps. With this recipe-based guide, you’ll explore modern solutions and best practices for Flask web development. Updated to the latest version of Flask and Python 3, this second edition of Flask Framework Cookbook moves away from some of the old and obsolete libraries and introduces recipes on bleeding edge technologies. You’ll discover different ways of using Flask to create, deploy, and manage microservices. This Flask Python book starts by covering the different configurations that a Flask application can make use of, and then helps you work with templates and learn about the ORM and view layers. You’ll also be able to write an admin interface and get to grips with debugging and logging errors. Finally, you’ll grasp a variety of deployment and post-deployment techniques for platforms such as Apache, Tornado, and Heroku. By the end of this book, you’ll have gained all the knowledge you need to write Flask applications in the best possible way and scale them using standard industry practices. What you will learnExplore web application development in Flask, right from installation to post-deployment stagesMake use of advanced templating and data modeling techniquesDiscover effective debugging, logging, and error handling techniques in FlaskIntegrate Flask with different technologies such as Redis, Sentry, and MongoDBDeploy and package Flask applications with Docker and KubernetesDesign scalable microservice architecture using AWS LambdaContinuous integration and Continuous deploymentWho this book is for If you are a web developer who wants to learn more about developing scalable and production-ready applications in Flask, this is the book for you. You’ll also find this book useful if you are already aware of Flask's major extensions and want to use them for better application development. Basic Python programming experience along with basic understanding of Flask is assumed.

Python Automation Cookbook

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1788999150
Total Pages : 388 pages
Book Rating : 4.7/5 (889 download)

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Book Synopsis Python Automation Cookbook by : Jaime Buelta

Download or read book Python Automation Cookbook written by Jaime Buelta and published by Packt Publishing Ltd. This book was released on 2018-09-27 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Step-by-step instructions which take you through each program to automate monotonous tasks with Python 3.7 Key FeaturesAutomate integral business processes such as report generation, email marketing, and lead generationBuild your first web application that scrapes data and accesses websites' APIsCreate graphic-rich charts, graphs, and maps using MatplotlibBook Description Have you been doing the same old monotonous office work over and over again? Or have you been trying to find an easy way to make your life better by automating some of your repetitive tasks? Through a tried and tested approach, understand how to automate all the boring stuff using Python. The Python Automation Cookbook helps you develop a clear understanding of how to automate your business processes using Python, including detecting opportunities by scraping the web, analyzing information to generate automatic spreadsheets reports with graphs, and communicating with automatically generated emails. You’ll learn how to get notifications via text messages and run tasks while your mind is focused on other important activities, followed by understanding how to scan documents such as résumés. Once you’ve gotten familiar with the fundamentals, you’ll be introduced to the world of graphs, along with studying how to produce organized charts using Matplotlib. In addition to this, you’ll gain in-depth knowledge of how to generate rich graphics showing relevant information. By the end of this book, you’ll have refined your skills by attaining a sound understanding of how to identify and correct problems to produce superior and reliable systems. What you will learnGet to grips with scraping a website to detect changesSearch and process raw sales files to aggregate information in spreadsheetsExplore techniques to extract information from an Excel spreadsheet and generate exciting reports with graphsDiscover the techniques required to generate random, print-friendly codes to be used as single-use couponsAutomatically generate a marketing campaign, contacting the recipients over different channelsIdentify and implement precise solutionsWho this book is for The Python Automation Cookbook is for you if you are a developer or anyone who wants to automate monotonous manual tasks related to fields such as finance, sales, and HR, among others.

Easy Paleo Dutch Oven Cookbook

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Author :
Publisher :
ISBN 13 :
Total Pages : 122 pages
Book Rating : 4.7/5 (12 download)

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Book Synopsis Easy Paleo Dutch Oven Cookbook by : Lisa Maser

Download or read book Easy Paleo Dutch Oven Cookbook written by Lisa Maser and published by . This book was released on 2021-01-27 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Easy Paleo Dutch Oven Cookbook: Delicious, Classic, Healthy and Easy One Pot Meal Recipes. The Dutch oven has a history almost as colorful as the iconic, stunning piece of cookware itself. The Dutch oven is a real workhorse, it is no surprise that it has been around since the 1700s, and it's has lasted for so long because you can make so many culinary and cooking wonders using just this iconic pot. This means you need to use only one pot for the entire cooking process! Is this not wonderful and interesting? This Interesting feature simplifies cooking and saves precious time, so it's no wonder that this centuries-old device is now a star of this new age cooking. Once you start using a Dutch oven, it will become a permanent fixture in your kitchen. Why would you want to put it away when it allows you to cook almost anything, anytime, in a few time too? This precious and must-have cookbook "Easy Paleo Dutch Oven Cookbook" houses a collection of quick and easy Dutch oven meals using fresh, nutritious, and flavorful ingredients. Inside Easy Paleo Dutch Oven Cookbook, you'll find: History of the Dutch Oven What to cook in your Dutch Oven Rules to follow when cooking with your Dutch Oven Demystifying the mysteries around frying in a Dutch Oven Easy to prepare Paleo Recipes that comes with a detailed list of ingredients, number of servings, prep, and cooking times, easy to follow step-by-step instructions And many more... Let's get started! Scroll back up and click the BUY NOW button to get a copy for yourself.