Building Data Science Applications with FastAPI: Develop, manage, and deploy efficient machine learning applications with Python, 2nd Edition 2nd Edition
Become well equipped to maintain, design, and monitor applications to meet the highest programming standards using FastAPI.
Building Data Science Applications with FastAPI: Develop, manage, and deploy efficient machine learning applications with Python, 2nd Edition 2nd Edition
Nº de artículo: 91658538

Building Data Science Applications with FastAPI: Develop, manage, and deploy efficient machine learning applications with Python, 2nd Edition 2nd

Nº de artículo: 91658538

PYG 534502

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What Stands Out

Comprehensive Guide
This book offers an in-depth exploration of FastAPI for building scalable machine learning applications, making it ideal for both beginners and experienced developers looking to enhance their web frameworks skills.
Practical Examples
Loaded with real-world examples, this edition helps readers easily grasp concepts and implement solutions, ensuring they can effectively manage and deploy their own data science applications with confidence.
Updated Content
The second edition includes the latest advancements in FastAPI and machine learning practices, guaranteeing that learners stay current with industry trends and best practices in developing efficient applications.

Detalles de producto

Shop Building Data Science Applications with FastAPI: Develop, manage, and deploy efficient machine learning applications with Python, 2nd Edition 2nd Edition online at a best price in Paraguay. 183763274X
Publisher Packt Publishing
Publication date July 31, 2023
Edition 2nd
Language English
Print length 422 pages
ISBN-10 183763274X
ISBN-13 978-1837632749
Item Weight 1.59 pounds (720 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 looking to integrate machine learning models into web applications with FastAPI.

  • Python Developers

    Great for Python developers interested in building efficient machine learning apps using FastAPI for quick deployment.

  • Machine Learning Engineers

    Perfect for engineers who need to manage, deploy, and scale machine learning applications effectively.

Not Suitable For
  • Beginners in Python

    May overwhelm complete beginners who lack foundational knowledge in Python or web development concepts.

DESCRIPCIÓN DEL PRODUCTO

Building Data Science Applications with FastAPI: Develop, manage, and deploy efficient machine learning applications with Python, 2nd Edition 2nd Edition

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Intelligence & Semantics Editorial Review

**** "Building Data Science Applications with FastAPI - Second Edition" is an essential guide for Python developers yearning to create efficient APIs tailored for data science and machine learning applications. This updated edition adeptly recognizes the increasing demand for robust, production-ready APIs in the data science field and provides clear, practical guidance to bridge a significant knowledge gap often found in other resources. Crafted by experienced authors, the book offers a comprehensive journey through FastAPI, starting with foundational concepts of routing, validation, and dependency injection. As readers progress, they are introduced to advanced features, including authentication, database management, and real-time application capabilities. The inclusion of two in-depth, real-world projects—an object detection system and a text-to-image generator—offers hands-on applications of the discussed methods, reinforcing the theoretical knowledge imparted throughout. The authors also tackle essential elements of robust API development beyond mere code: they stress the importance of testing, deployment, logging, and performance metrics, all pivotal for creating maintainable and effective systems. Moreover, clarity and accessibility in writing make intricate topics approachable, ensuring that both beginners and seasoned developers can derive value from the text. Overall, this second edition stands out as an invaluable resource that goes beyond basic API Construction. It equips readers with both theoretical understanding and practical engineering principles, making it a must-have for any developer interested in mastering FastAPI and enhancing their data science applications. **

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ventajas

  • Comprehensive coverage of FastAPI and its advanced features.
  • Hands-on projects aiding real-world application of concepts.
  • Emphasis on best practices for creating maintainable APIs.
  • Accessible writing style for a range of skill levels.
  • Detailed guidance on essential aspects of API development like testing, logging, and deployment.

Contras

  • Some readers might require prior knowledge of Python and data science principles to fully benefit from the content.

Product Price History

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