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Building Data Science Applications with FastAPI: Develop, manage, and deploy efficient machine learning applications with Python, 2nd Edition 2nd
90% of respondents would recommend this to a friend
PYG 534502
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Become well equipped to maintain, design, and monitor applications to meet the highest programming standards using FastAPI.
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Detalles de producto
| 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?
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Data Scientists
Ideal for data scientists looking to integrate machine learning models into web applications with FastAPI.
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Python Developers
Great for Python developers interested in building efficient machine learning apps using FastAPI for quick deployment.
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Machine Learning Engineers
Perfect for engineers who need to manage, deploy, and scale machine learning applications effectively.
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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.
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PYG 534502
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características y beneficios
- Learn advanced FastAPI techniques for building efficient data science applications.
- Develop hands-on projects including real-time object detection and text-to-image generation.
- Gain insights into async I/O, type hinting, and dependency injection best practices.
- Master authentication, authorization, and database integration.
- Understand testing and deployment best practices for high-quality applications.
- Catered for data scientists and developers seeking to enhance their FastAPI skills.
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