Getting Started With Fastapi

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Getting started with FastApi

Andrés Cruz Yoris
Getting started with FastApi Book PDF

Author : Andrés Cruz Yoris
Publisher : Andres Cruz
Page : 168 pages
File Size : 46,7 Mb
Release : 2024-07-01
Category : Computers
ISBN : 8210379456XXX

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Getting started with FastApi by Andrés Cruz Yoris Pdf

FastAPI is a great web framework for creating web APIs with Python; It offers us multiple features with which it is possible to create modular, well-structured, scalable APIs with many options such as validations, formats, typing, among others. When you install FastAPI, two very important modules are installed: Pydantic that allows the creation of models for data validation. Starlette, which is a lightweight ASGI tooltip, used to create asynchronous (or synchronous) web services in Python. With these packages, we have the basics to create APIs, but we can easily extend a FastAPI project with other modules to provide the application with more features, such as the database, template engines, among others. FastAPI is a high-performance, easy-to-learn, start-up framework; It is ideal for creating all kinds of sites that not only consist of APIs, but we can install a template manager to return complete web pages. This book is mostly practical, we will learn the basics of FastAPI, knowing its main features based on a small application that we will extend chapter after chapter and whose content you can see below: Chapter 1: We present some essential commands to develop in FastApi , we will prepare the environment and we will give an introduction to the framework . Chapter 2: One of the main factors in FastApi is the creation of resources for the API through functions, in this section we will deal with the basics of this, introducing routing between multiple files as well as the different options for the arguments and parameters of these routes. Chapter 3: In this section, learn how to handle HTTP status codes from API methods and also handle errors/exceptions from API methods. Chapter 4: In this section we will see how to create sample data to use from the automatic documentation that FastAPI offers for each of the API methods. Chapter 5: In this chapter we will see how to implement the upload of files, knowing the different existing variants in FastAPI. Chapter 6: In this chapter we will see how to connect a FastAPI application to a relational database such as MySQL. Chapter 7: In this chapter we will see installing and using a template engine in Python, specifically Jinja, with which we can return responses in HTML format. Chapter 8: In this chapter we will see installing and using a template engine in Python, specifically Jinja, with which we can return responses in HTML format. Chapter 9: In this chapter we will learn how to use dependencies. Chapter 10: In this chapter we will see how to use middleware to intercept requests to API methods and execute some procedure before the request or after generating the response. Chapter 11: In this chapter we will see how to create a user module, to register users, login, generate access tokens and logout. Chapter 12: In this chapter we will learn about some particularities and functionalities of FastAPI such as the use of annotations and the Ellipsis operator. Chapter 13: In this chapter we will see how to implement unit tests. Chapter 14: In this chapter we will know some general aspects applied to FastAPI.

Building Python Web APIs with FastAPI

Abdulazeez Abdulazeez Adeshina
Building Python Web APIs with FastAPI Book PDF

Author : Abdulazeez Abdulazeez Adeshina
Publisher : Packt Publishing Ltd
Page : 216 pages
File Size : 51,6 Mb
Release : 2022-07-29
Category : Computers
ISBN : 9781801074513

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Building Python Web APIs with FastAPI by Abdulazeez Abdulazeez Adeshina Pdf

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.

Full Stack FastAPI, React, and MongoDB

Marko Aleksendric
Full Stack FastAPI React and MongoDB Book PDF

Author : Marko Aleksendric
Publisher : Packt Publishing Ltd
Page : 336 pages
File Size : 43,5 Mb
Release : 2022-09-23
Category : Computers
ISBN : 9781803249445

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Full Stack FastAPI, React, and MongoDB by Marko Aleksendric Pdf

Wield the power of Python, React, and MongoDB to build web and data applications quickly and broaden your web development horizons Key FeaturesLearn how to build web applications without having to know the intricacies of the componentsBuild full stack projects without compromising on development speed and app performancePrepare yourself for the diverse world of web development, analytics, and data visualizationBook Description If you need to develop web applications quickly, where do you turn? Enter the FARM stack. The FARM stack combines the power of the Python ecosystem with REST and MongoDB and makes building web applications easy and fast. This book is a fast-paced, concise, and hands-on beginner's guide that will equip you with the skills you need to quickly build web applications by diving just deep enough into the intricacies of the stack's components. The book quickly introduces each element of the stack and then helps you merge them to build a medium-sized web application. You'll set up a document store with MongoDB, build a simple API with FastAPI, and create an application with React. Security is crucial on the web, so you'll learn about authentication and authorization with JSON Web Tokens. You'll also understand how to optimize images, cache responses with Redis, and add additional features to your application as well as explore tips, tricks, and best practices to make your development experience a breeze. Before you know it, you'll be deploying the application to different platforms. By the end of this book, you will have built a couple of functional applications efficiently and will have the springboard you need to delve into diverse and more specialized domains. What you will learnDiscover the flexibility of the FARM stackImplement complete JWT authentication with FastAPIExplore the various Python drivers for MongoDBDiscover the problems that React libraries solveBuild simple and medium web applications with the FARM stackDive into server-side rendering with Next.jsDeploy your app with Heroku, Vercel, Ubuntu Server and NetlifyUnderstand how to deploy and cache a FastAPI backendWho this book is for This book is for web developers and analysts who want to include the power of a modern asynchronous Python framework, a flexible data store and a powerful UI library with the combination of two of the most important programming languages today in their web development toolkit. Beginners in the field of information presentation will also find this book helpful. You must have a beginner-level understanding of Python, JavaScript, and HTML and CSS to get the most out of this book.

FastAPI

Bill Lubanovic
FastAPI Book PDF

Author : Bill Lubanovic
Publisher : "O'Reilly Media, Inc."
Page : 244 pages
File Size : 44,6 Mb
Release : 2023-11-06
Category : Computers
ISBN : 9781098135461

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FastAPI by Bill Lubanovic Pdf

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 Data Science Applications with FastAPI

Francois Voron
Building Data Science Applications with FastAPI Book PDF

Author : Francois Voron
Publisher : Packt Publishing Ltd
Page : 426 pages
File Size : 40,8 Mb
Release : 2021-10-08
Category : Computers
ISBN : 9781801074186

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Building Data Science Applications with FastAPI by Francois Voron Pdf

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.

Learn Python From an Expert: The Complete Guide: With Artificial Intelligence

Edson L P Camacho
Learn Python From an Expert The Complete Guide With Artificial Intelligence Book PDF

Author : Edson L P Camacho
Publisher :
Page : 620 pages
File Size : 49,5 Mb
Release : 2023-06-08
Category : Computers
ISBN : 9798397633611

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Learn Python From an Expert: The Complete Guide: With Artificial Intelligence by Edson L P Camacho Pdf

The Ultimate Guide to Advanced Python and Artificial Intelligence: Unleash the Power of Code! Are you ready to take your Python programming skills to the next level and dive into the exciting world of artificial intelligence? Look no further! We proudly present the comprehensive book written by renowned author Edson L P Camacho: "Advanced Python: Mastering AI." In today's rapidly evolving technological landscape, the demand for AI professionals is soaring. Python, with its simplicity and versatility, has become the go-to language for AI development. Whether you are a seasoned Pythonista or a beginner eager to learn, this book is your gateway to mastering AI concepts and enhancing your programming expertise. What sets "Advanced Python: Mastering AI" apart from other books is its unparalleled combination of in-depth theory and hands-on practicality. Edson L P Camacho, a leading expert in the field, guides you through every step, from laying the foundation of Python fundamentals to implementing cutting-edge AI algorithms. Here's a glimpse of what you'll find within the pages of this comprehensive guide: 1. Python Fundamentals: Review and reinforce your knowledge of Python basics, including data types, control flow, functions, and object-oriented programming. Build a solid foundation to tackle complex AI concepts. 2. Data Manipulation and Visualization: Learn powerful libraries such as NumPy, Pandas, and Matplotlib to handle and analyze data. Understand how to preprocess and visualize data effectively for AI applications. 3. Machine Learning Essentials: Dive into the world of machine learning and explore popular algorithms like linear regression, decision trees, support vector machines, and neural networks. Discover how to train, evaluate, and optimize models for various tasks. 4. Deep Learning and Neural Networks: Delve deeper into neural networks, the backbone of modern AI. Gain insights into deep learning architectures, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs). Implement advanced techniques like transfer learning and generative models. 5. Natural Language Processing (NLP): Explore the fascinating field of NLP and learn how to process and analyze textual data using Python. Discover techniques like sentiment analysis, named entity recognition, and text generation. 6. Computer Vision: Unleash the power of Python for image and video analysis. Build computer vision applications using popular libraries like OpenCV and TensorFlow. Understand concepts like object detection, image segmentation, and image captioning. 7. Reinforcement Learning: Embark on the exciting journey of reinforcement learning. Master the fundamentals of Q-learning, policy gradients, and deep Q-networks. Create intelligent agents that can learn and make decisions in dynamic environments. "Advanced Python: Mastering AI" not only equips you with the theoretical knowledge but also provides numerous real-world examples and projects to reinforce your understanding. Each chapter is accompanied by practical exercises and coding challenges to sharpen your skills and boost your confidence. Don't miss the opportunity to stay ahead in this AI-driven era. Order your copy of "Advanced Python: Mastering AI" today and unlock the full potential of Python programming with artificial intelligence. Take your career to new heights and become a proficient AI developer. Get ready to write the code that shapes the future!

Building Data Science Applications with FastAPI

Francois Voron
Building Data Science Applications with FastAPI Book PDF

Author : Francois Voron
Publisher : Packt Publishing Ltd
Page : 423 pages
File Size : 50,7 Mb
Release : 2023-07-31
Category : Computers
ISBN : 9781837637263

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Building Data Science Applications with FastAPI by Francois Voron Pdf

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 eBook Key Features Uncover the secrets of FastAPI, including async I/O, type hinting, and dependency injection Learn to add authentication, authorization, and interaction with databases in a FastAPI backend Develop real-world projects using pre-trained AI models Book Description Building 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 learn Explore the basics of modern Python and async I/O programming Get to grips with basic and advanced concepts of the FastAPI framework Deploy a performant and reliable web backend for a data science application Integrate common Python data science libraries into a web backend Integrate an object detection algorithm into a FastAPI backend Build a distributed text-to-image AI system with Stable Diffusion Add metrics and logging and learn how to monitor them Who this book is for This 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.

Computational Science and Its Applications – ICCSA 2023 Workshops

Osvaldo Gervasi,Beniamino Murgante,Ana Maria A. C. Rocha,Chiara Garau,Francesco Scorza,Yeliz Karaca,Carmelo M. Torre
Computational Science and Its Applications ICCSA 2023 Workshops Book PDF

Author : Osvaldo Gervasi,Beniamino Murgante,Ana Maria A. C. Rocha,Chiara Garau,Francesco Scorza,Yeliz Karaca,Carmelo M. Torre
Publisher : Springer Nature
Page : 643 pages
File Size : 43,5 Mb
Release : 2023-06-28
Category : Computers
ISBN : 9783031371202

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Computational Science and Its Applications – ICCSA 2023 Workshops by Osvaldo Gervasi,Beniamino Murgante,Ana Maria A. C. Rocha,Chiara Garau,Francesco Scorza,Yeliz Karaca,Carmelo M. Torre Pdf

This nine-volume set LNCS 14104 – 14112 constitutes the refereed workshop proceedings of the 23rd International Conference on Computational Science and Its Applications, ICCSA 2023, held at Athens, Greece, during July 3–6, 2023. The 350 full papers and 29 short papers and 2 PHD showcase papers included in this volume were carefully reviewed and selected from a total of 876 submissions. These nine-volumes includes the proceedings of the following workshops: Advances in Artificial Intelligence Learning Technologies: Blended Learning, STEM, Computational Thinking and Coding (AAILT 2023); Advanced Processes of Mathematics and Computing Models in Complex Computational Systems (ACMC 2023); Artificial Intelligence supported Medical data examination (AIM 2023); Advanced and Innovative web Apps (AIWA 2023); Assessing Urban Sustainability (ASUS 2023); Advanced Data Science Techniques with applications in Industry and Environmental Sustainability (ATELIERS 2023); Advances in Web Based Learning (AWBL 2023); Blockchain and Distributed Ledgers: Technologies and Applications (BDLTA 2023); Bio and Neuro inspired Computing and Applications (BIONCA 2023); Choices and Actions for Human Scale Cities: Decision Support Systems (CAHSC-DSS 2023); and Computational and Applied Mathematics (CAM 2023).

A Hands-On Introduction to Essential Python Libraries and Frameworks (With Code Samples)

Murat Durmus
A Hands On Introduction to Essential Python Libraries and Frameworks With Code Samples Book PDF

Author : Murat Durmus
Publisher : Murat Durmus
Page : 160 pages
File Size : 54,6 Mb
Release : 2023-03-02
Category : Computers
ISBN : 8210379456XXX

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A Hands-On Introduction to Essential Python Libraries and Frameworks (With Code Samples) by Murat Durmus Pdf

Essential Python libraries and frameworks that every aspiring data scientist, ML engineer, and Python developer should know. "Python is not just a language, it's a community where developers can learn, collaborate and create wonders." ~ Guido van Rossum (Creator of Python)

Mastering Transformers

Savaş Yıldırım,Meysam Asgari- Chenaghlu
Mastering Transformers Book PDF

Author : Savaş Yıldırım,Meysam Asgari- Chenaghlu
Publisher : Packt Publishing Ltd
Page : 462 pages
File Size : 46,6 Mb
Release : 2024-06-03
Category : Computers
ISBN : 9781837631506

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Mastering Transformers by Savaş Yıldırım,Meysam Asgari- Chenaghlu Pdf

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.

Big Data on Kubernetes

Neylson Crepalde
Big Data on Kubernetes Book PDF

Author : Neylson Crepalde
Publisher : Packt Publishing Ltd
Page : 297 pages
File Size : 40,6 Mb
Release : 2024-07-19
Category : Computers
ISBN : 9781835468999

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Big Data on Kubernetes by Neylson Crepalde Pdf

Gain hands-on experience in building efficient and scalable big data architecture on Kubernetes, utilizing leading technologies such as Spark, Airflow, Kafka, and Trino Key Features Leverage Kubernetes in a cloud environment to integrate seamlessly with a variety of tools Explore best practices for optimizing the performance of big data pipelines Build end-to-end data pipelines and discover real-world use cases using popular tools like Spark, Airflow, and Kafka Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn today's data-driven world, organizations across different sectors need scalable and efficient solutions for processing large volumes of data. Kubernetes offers an open-source and cost-effective platform for deploying and managing big data tools and workloads, ensuring optimal resource utilization and minimizing operational overhead. If you want to master the art of building and deploying big data solutions using Kubernetes, then this book is for you. Written by an experienced data specialist, Big Data on Kubernetes takes you through the entire process of developing scalable and resilient data pipelines, with a focus on practical implementation. Starting with the basics, you’ll progress toward learning how to install Docker and run your first containerized applications. You’ll then explore Kubernetes architecture and understand its core components. This knowledge will pave the way for exploring a variety of essential tools for big data processing such as Apache Spark and Apache Airflow. You’ll also learn how to install and configure these tools on Kubernetes clusters. Throughout the book, you’ll gain hands-on experience building a complete big data stack on Kubernetes. By the end of this Kubernetes book, you’ll be equipped with the skills and knowledge you need to tackle real-world big data challenges with confidence.What you will learn Install and use Docker to run containers and build concise images Gain a deep understanding of Kubernetes architecture and its components Deploy and manage Kubernetes clusters on different cloud platforms Implement and manage data pipelines using Apache Spark and Apache Airflow Deploy and configure Apache Kafka for real-time data ingestion and processing Build and orchestrate a complete big data pipeline using open-source tools Deploy Generative AI applications on a Kubernetes-based architecture Who this book is for If you’re a data engineer, BI analyst, data team leader, data architect, or tech manager with a basic understanding of big data technologies, then this big data book is for you. Familiarity with the basics of Python programming, SQL queries, and YAML is required to understand the topics discussed in this book.

Pragmatic AI

Noah Gift
Pragmatic AI Book PDF

Author : Noah Gift
Publisher : Addison-Wesley Professional
Page : 720 pages
File Size : 54,5 Mb
Release : 2018-07-12
Category : Computers
ISBN : 9780134863917

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Pragmatic AI by Noah Gift Pdf

Master Powerful Off-the-Shelf Business Solutions for AI and Machine Learning Pragmatic AI will help you solve real-world problems with contemporary machine learning, artificial intelligence, and cloud computing tools. Noah Gift demystifies all the concepts and tools you need to get results—even if you don’t have a strong background in math or data science. Gift illuminates powerful off-the-shelf cloud offerings from Amazon, Google, and Microsoft, and demonstrates proven techniques using the Python data science ecosystem. His workflows and examples help you streamline and simplify every step, from deployment to production, and build exceptionally scalable solutions. As you learn how machine language (ML) solutions work, you’ll gain a more intuitive understanding of what you can achieve with them and how to maximize their value. Building on these fundamentals, you’ll walk step-by-step through building cloud-based AI/ML applications to address realistic issues in sports marketing, project management, product pricing, real estate, and beyond. Whether you’re a business professional, decision-maker, student, or programmer, Gift’s expert guidance and wide-ranging case studies will prepare you to solve data science problems in virtually any environment. Get and configure all the tools you’ll need Quickly review all the Python you need to start building machine learning applications Master the AI and ML toolchain and project lifecycle Work with Python data science tools such as IPython, Pandas, Numpy, Juypter Notebook, and Sklearn Incorporate a pragmatic feedback loop that continually improves the efficiency of your workflows and systems Develop cloud AI solutions with Google Cloud Platform, including TPU, Colaboratory, and Datalab services Define Amazon Web Services cloud AI workflows, including spot instances, code pipelines, boto, and more Work with Microsoft Azure AI APIs Walk through building six real-world AI applications, from start to finish Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

High-Performance Web Apps with FastAPI

Malhar Lathkar
High Performance Web Apps with FastAPI Book PDF

Author : Malhar Lathkar
Publisher : Unknown
Page : 0 pages
File Size : 49,8 Mb
Release : 2023
Category : Electronic
ISBN : 1484291794

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High-Performance Web Apps with FastAPI by Malhar Lathkar Pdf

Build APIs and web apps based on Asynchronous Server Gateway Interface (ASGI). This book provides a comprehensive explanation of using Pydantic models to construct the request/response objects in a FASTAPI path operation. You'll start by reviewing type hints in Python and the asynchronous processing concepts. One of the highlights of FastAPI is its auto generation of API docs. Pydantic library is the main pillar on top of which FastAPI is built. You'll see that ASGI has a far better performance compared to most of the other popular Python frameworks as they implement Web server Gateway Interface (WSGI), which is synchronous in nature and hence having slower response time. This book thoroughly explains how FastAPI interacts asynchronously with relational as well as NOSQL databases. Modern web apps use template engines to interact with the front-end. In this book, you will learn to use jinja2 templates and static assets. Swagger UI and OpenAPI standards are also covered in detail. Finally, different options of deployment of FastAPI app have been explored in this book. This book uses practical examples to empower you to build high performance APIs You will: Develop robust and high-performance web apps Deploy the FastAPI app for public availability using cloud services such as Deta and Docker container Understand the important building blocks of a web app such as form handling, templating and database interaction.

Getting started with Flask

Andrés Cruz Yoris
Getting started with Flask Book PDF

Author : Andrés Cruz Yoris
Publisher : Andres Cruz
Page : 278 pages
File Size : 53,8 Mb
Release : 2024-07-01
Category : Computers
ISBN : 8210379456XXX

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Getting started with Flask by Andrés Cruz Yoris Pdf

This guide is intended to take your first steps with Flask using Python; with this, we are going to propose two things: It is not a book that aims to know Flask 100%, or from zero to expert, since it would be too big an objective for the scope of this guide, otherwise, to know what it offers us and create the first web applications with Flask , know its extensions, create an API, use Jinja2 among others... It is assumed that the reader has at least basic knowledge of Python development. This book has a practical approach, knowing the key aspects of the technology and moving into practice, gradually implementing small features of an application that has real scope. To follow this book you need to have a computer with Windows, Linux or MacOS. The book is currently in development. This book consists of 20 chapters, with which we will learn in detail the most important and basic features of Flask: Chapter 1: In this chapter we will give an introduction to Python, knowing its basic characteristics and functionalities such as variables, data types, functions, classes, among others. Chapter 2: In this chapter we are going to present the software necessary to create projects in Flask, what happens from Python, to preparing the environment, the editor that we will use, VSC and a web browser. Chapter 3: We present some essential commands to develop in Flask, we will prepare the environment and give an introduction to the framework, we will create a structure for the project in Flask and we will get a basic understanding of the routing for the controllers. Chapter 4: In this chapter we will see how to use the template engine par excellence in Flask, which is Jinja, with which we can return responses in HTML format and customize the page with embedded Python code with which we can customize using blocks, filters, macros, among others. Chapter 5: In this chapter we will see how to connect an application in Flask to a relational database such as MySQL using SQLAlchemy; We will see how to configure a database, connection through the models, generation of automatic migrations based on the models and basic CRUD operations to manipulate the database. Chapter 6: In this chapter we will install the Flask Migrate extension to configure a migration system for the project and in this way be able to customize the tables and have a robust schema to be able to make changes to the database in a practical and scalable way, in addition to be able to create a trace with these changes. Chapter 7: In this chapter we will use the Form WTF extension to create forms, apply validations, initial values and later dump this data into the database, these forms are classes with the aforementioned attributes and in this way we can apply the same schema for server and client side data manipulation. Chapter 8: In this chapter we will see how to use one-to-one, one-to-many and many-to-many relationships in Flask with SQLAlchemy. Chapter 9: In this chapter we will see how to use flash messages useful to inform the user about the operations carried out. Chapter 10: In this chapter we will use Flask Login to create an authentication system and protect drivers. Chapter 11: In this chapter we will see how to implement a Rest Api using the Restful Flash package, generate access tokens and make test connections. Chapter 12: In this chapter we will see how to implement unit tests that are part of the development of any application. To do this, we will use the Pytest package available for Python. Chapter 13: In this chapter we will integrate the Bootstrap 5 web framework to our project in Flask, in this way, we will see how to use both technologies together and we will apply styles to the forms, lists, navigation menu, among others. Chapter 14: In this chapter we will use Flask Babel to add a multilanguage system to the application, to give the application the ability to use more than one language. Chapter 15: In this chapter we will learn about several Flask extensions that we have not used until this chapter, such as cache, CLI, a debug banner, email, among others. Chapter 16: In this chapter we will learn how to create custom decorators to use in controllers. Chapter 17: In this chapter we will integrate a role system into the application, in addition to this, we will enhance the user profile with several options such as the option to change the password, social networks, address, preferred language, among others. Chapter 18: In this chapter we are going to learn about some operations on the database using SQLAlchemy, in addition to knowing how to use the Flask shell. Chapter 19: In this chapter we are going to learn how to use files to manage environment variables in Flask. Chapter 20: In this chapter we are going to create our first experiment which will be a filter to filter by search term, category and tag.

Getting started with Django 5

Andres
Getting started with Django 5 Book PDF

Author : Andres
Publisher : Andres Cruz
Page : 433 pages
File Size : 48,6 Mb
Release : 2024-07-01
Category : Computers
ISBN : 8210379456XXX

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Getting started with Django 5 by Andres Pdf

Django is a framework with many options, it allows us to create applications with the language of the moment Python, a modular programming language, with an impeccable syntax that we can also use in a web environment. It offers us a modular scheme between projects and applications, an important set of packages to extend the already complete framework and with this, the creation of scalable projects. It is a framework that, by using Python, brings us its benefits of a clean, clear, precise syntax, a modular and scalable environment through packages. This book is for anyone who wants to start developing with Django; you may come from another framework or even PHP; in both cases, it is a great idea to learn from one of the most advanced and complete web frameworks you can find. For those who want to know the framework and who know other web frameworks, but do not have the necessary knowledge to venture into these. For people who want to improve a skill in web development, who want to grow as a developer and who want to keep climbing their way with other frameworks similar to this one. For those who want to learn or improve a skill and with this, increase their chances of employment or to carry out a personal project. This book has a total of 18 chapters, it is recommended that you read in the order in which they are arranged and as we explain the components of the framework, go directly to the practice, replicate, test and modify the codes that we show in this book. Chapter 1: In this chapter we are going to present the software necessary to create projects in Django, Python as a programming language and in which the framework is developed, a code editor such as VSS, until preparing the environment. Chapter 2: In this chapter we are going to create the virtual environment to develop the application, we will create the project in Django, we will learn about its basic structure and the use of applications and projects in Django. Chapter 3: In this chapter we will give an introduction to Python, knowing its basic characteristics and functionalities such as variables, data types, functions, classes, among others. Chapter 4: In this chapter, we are going to create a simple CRUD type application and learn about all the elements of the framework that this implies such as management of forms, templates, views and models, in addition to the management of CSRF tokens, migrations, databases among others. Chapter 5: In this chapter, we are going to work with Django Admin to provide an interface for managing site content; that is, the typical CRUDs, we will learn how to customize them at the class level, validations, interpret requests, among others. Chapter 6: In this chapter, we are going to introduce the use of forms in Django, definition, validations, saving and structure in general. Chapter 7: In this chapter, we are going to present the different functionalities that templates have in Django. Chapter 8: In this chapter, we are going to introduce some functions that we can use with QuerySets when building queries. Chapter 9: In this chapter, we are going to build a Rest API with the Django Rest Framework. Chapter 10: In this chapter, we are going to consume the above Rest Api with an app in Vue 3 and NaiveUI; lists, forms will be created and integrated with Tailwind.css Chapter 11 : In this chapter, we are going to learn about class-based views by performing the typical operations that are needed in modern web development. Chapter 12: In this chapter, we are going to learn how to work with files in Django; specifically reading and generating excel and CSV and generating PDFs. Chapter 13: In this chapter, we are going to show the code of an application created with Alpine.js to create a to do list component. Chapter 14: In this chapter, we are going to adapt the Alpine.js application presented in the previous chapter, so that it works together with Django. Chapter 15: In this chapter, we are going to use Django Channels to learn how to create systems with full duplex communication and be able to create our own websockets and consume them, we will see how to create single and multiple channel applications, as well as how to consume a consumer from an app in Vue . Chapter 16: In this chapter, we are going to create a personalized authentication module with login, registration, recover passwords, sending emails, uploading the avatar among others. Chapter 17: In this chapter, we are going to learn how to use the signals system to intercept events in Django such as creation of entities in the database and execute custom code. Chapter 18: In this chapter, we will introduce the use of testing to create automated functions and test different modules of our application.