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Building Data Science Applications with FastAPI: Develop, manage, and deploy efficient machine learning applications with Python
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Building Data Science Applications with FastAPI: Develop, manage, and deploy efficient machine learning applications with Python
Build, test, and deploy high performing data science and machine learning systems with FastAPI
Building Data Science Applications with FastAPI: Develop, manage, and deploy efficient machine learning applications with Python
Item #: 51642211

Building Data Science Applications with FastAPI: Develop, manage, and deploy efficient machine learning applications with Python

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Item #: 51642211

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Build, test, and deploy high performing data science and machine learning systems with FastAPI
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What Stands Out

Rapid Development
Leverage FastAPI's intuitive framework for swift application development, enabling data scientists to quickly turn machine learning models into fully functional APIs with minimal effort.
Asynchronous Support
Utilize FastAPI's asynchronous capabilities to handle numerous requests simultaneously, ensuring scalable and efficient performance for data-driven applications without compromising speed.
Comprehensive Documentation
Benefit from extensive and user-friendly documentation that facilitates easy navigation and implementation, helping users effectively manage and deploy their machine learning projects with confidence.

Product Details

Develop, manage, and deploy efficient machine learning applications with Python. Find the best deals on Building Data Science Applications with FastAPI at Ubuy Oman.
  • Get well-versed with FastAPI features and best practices for testing, monitoring, and deployment to run high-quality and robust data science applicationsKey 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 DescriptionFastAPI 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 forThis 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.Table of ContentsPython Development Environment SetupPython Programming SpecificitiesDeveloping RESTful API with FastAPIManaging pydantic Data Models in FastAPIDependency Injections in FastAPIDatabases and Asynchronous ORMsManaging Authentication and Security in FastAPIDefining WebSockets for Two-Way Interactive Communication in FastAPITesting an API Asynchronously with pytest and HTTPXDeploying a FastAPI ProjectIntroduction to NumPy and PandasTraining Machine Learning Models with scikit-learnCreating an Efficient Prediction API Endpoint with FastAPIImplement a Real-Time Face Detection System Using WebSockets with FastAPI and OpenCV
Publisher Packt Publishing
Publication date October 8, 2021
Language English
Print length 426 pages
ISBN-10 1801079218
ISBN-13 978-1801079211
Item Weight 1.6 pounds (730 grams)
Dimensions 7.5 x 0.96 x 9.25 inches (19.1 x 2.4 x 23.5 cm)

Who Should Buy?

Suitable For
  • Data Scientists

    Ideal for data scientists aiming to efficiently deploy machine learning models into web applications using FastAPI.

  • Software Developers

    Software developers looking to enhance their skills in building APIs and integrating machine learning solutions.

  • Machine Learning Engineers

    Perfect for ML engineers who need to manage and deploy robust data science applications in Python.

Not Suitable For
  • Beginners

    Not suitable for beginners without prior experience in Python or machine learning concepts.

Product Description

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Product Buying Guide

Develop, manage, and deploy efficient machine learning applications with Python using Building Data Science Applications with FastAPI. This book is designed to help data scientists and software developers create reliable and high-performance data science API backends, leveraging modern Python programming and the FastAPI framework. The product is suitable for those interested in gaining practical knowledge of FastAPI for developing data science applications, coupled with a basic understanding of data science and machine learning concepts in Python.

Product Specifications

  • Title: Building Data Science Applications with FastAPI: Develop, manage, and deploy efficient machine learning applications with Python
  • Python 3.6 and its later versions
  • Modern Python programming language concepts
  • Basics of the FastAPI framework
  • Dependency injection system for communication with databases, authentication, and integrating machine learning models
  • Best practices for testing and deployment
  • Integration of Python data science packages
  • Development of data science applications in Python using FastAPI
  • Implementation of real-time face detection system using WebSockets

Key Features

  • Cover the concepts of the FastAPI framework, including aspects relating to asynchronous programming, type hinting, and dependency injection
  • Develop efficient RESTful APIs for data science with modern Python
  • Build, test, and deploy high performing data science and machine learning systems with FastAPI

Usage Scenarios

  • Creating fast and reliable data science API backends
  • Integrating machine learning models efficiently
  • Testing and deploying high-quality and robust data science applications
  • Developing fast and efficient machine learning prediction backends
  • Implementing real-time face detection system using WebSockets

Usage Scenarios

  • This product does not have direct competitors as it focuses on specific features and best practices that are unique to FastAPI and data science applications.

Some User Review

  • Users have appreciated the practical examples and in-depth coverage of FastAPI concepts in the context of data science applications. The step-by-step approach and real-world use cases have been particularly praised.

Competitors

  • The price of the book is competitive and offers substantial value considering the comprehensive coverage of FastAPI and its applications in data science. It is an affordable investment for professionals looking to enhance their skills in this domain.

Buying Considerations

  • Potential buyers should consider their existing knowledge of data science and machine learning concepts in Python, as this book is recommended for those with basic familiarity in these areas. Additionally, individuals interested in practical implementation and best practices of FastAPI for data science applications will find this product valuable.

Conclusion

Building Data Science Applications with FastAPI is a comprehensive resource for professionals aiming to master the development, management, and deployment of efficient data science and machine learning applications using Python. With a focus on practical examples and best practices, this book is well-suited for those seeking to enhance their expertise in FastAPI and its applications.

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Develop, manage, and deploy efficient machine learning applications with Python using Building Data Science Applications with FastAPI. This book is designed to help data scientists and software developers create reliable and high-performance data science API backends, leveraging modern Python programming and the FastAPI framework. The product is suitable for those interested in gaining practical knowledge of FastAPI for developing data science applications, coupled with a basic understanding of data science and machine learning concepts in Python. Continue Reading

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OMR 31

Order now and get it around Saturday, October 10

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Features & Benefits

  • Develop efficient RESTful APIs for data science with modern Python
  • Cover the concepts of the FastAPI framework
  • Implement a FastAPI dependency to efficiently run a machine learning model
  • Integrate common Python data science libraries in a web backend
  • Deploy a performant and reliable web backend for a data science application

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