Building Data Science Applications with FastAPI: Develop, manage, and deploy efficient machine learning applications with Python, 2nd Edition 2nd Edition
genuine image
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
товар №: 91658538

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

товар №: 91658538

TJS 792

Price Details

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

*All items will import from США

В наличии
США Импортировано из магазина USA

QTY:

Закажите сейчас и получите товар приблизительно Пятница, Октябрь 09
Secured transactionsecured transaction

Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.

Our Top Logistics Partners
  • fedex
  • dhl
Become well equipped to maintain, design, and monitor applications to meet the highest programming standards using FastAPI.
Гарантия U-Care:
Нет
Выберите план
fast shipping

Fast
Shipping

free return

Free
Return*

secure packaging

Secure Packaging

100% original products

100% Original Products

pci-dss

PCI DSS Compliance

iso certified

ISO 27001 Certified

paypal payment
visa payment
mastercard payment
Note: Step Down Voltage Transformer required for using electronics products of США store (110-120). Recommended power converters Купите сейчас.

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.

Информация о продукте

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 Tajikistan. 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.

ОПИСАНИЕ ТОВАРА

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

Есть вопрос? Пообщайтесь с нами в чате

Вопросы и ответы клиентов

  • вопрос: What topics are covered in 'Building Data Science Applications with FastAPI'?

    отвечать: This book covers a range of vital topics in building machine learning applications using FastAPI. Key areas include setting up your Python environment, developing RESTful APIs, and deploying scalable applications. It also delves into the integration of popular libraries such as Pandas, NumPy, and Scikit-learn, making it invaluable for those wanting to implement data-driven solutions. For anyone looking to streamline their machine learning projects, this book provides practical insights and hands-on tutorials.
  • вопрос: Who is the target audience for 'Building Data Science Applications with FastAPI'?

    отвечать: The primary audience for this book includes data scientists, machine learning engineers, and developers interested in leveraging FastAPI for their projects. However, it also serves as an excellent resource for beginners in programming who have a basic understanding of Python. The book's clear explanations and practical examples make it suitable for diverse skill levels, aiming to cultivate a deeper understanding of deploying machine learning solutions effectively.
  • вопрос: Is prior experience with Python required to understand the book?

    отвечать: While prior experience with Python is beneficial, it is not strictly required to understand 'Building Data Science Applications with FastAPI'. The book begins with foundational concepts before progressing to more complex topics. It’s designed to guide readers through practical examples, making it accessible to those willing to learn. For learners new to Python, supplementary resources can be helpful to solidify understanding before diving into the application-focused materials.
  • вопрос: What are the advantages of using FastAPI for machine learning applications?

    отвечать: FastAPI offers several advantages for building machine learning applications, including high performance and automatic generation of interactive API documentation. Its async capabilities enable better scalability to handle multiple requests efficiently. This means that machine learning models can be deployed to respond quickly to user inputs, making the applications user-friendly. Developers appreciate these features as they lead to more responsive applications, enhancing user experience and engagement.
  • вопрос: Can I integrate existing machine learning models into FastAPI applications?

    отвечать: Yes, you can seamlessly integrate existing machine learning models into FastAPI applications. The book provides examples on how to load models from popular libraries like TensorFlow and PyTorch. This flexibility allows users to deploy pre-trained models with minimal changes to the codebase. Integrating models can streamline workflows—anyone who has developed a model can easily transition it into a production-ready application by following the book's step-by-step guides.
  • вопрос: What prerequisites are recommended before reading this book?

    отвечать: Readers are recommended to have a basic understanding of Python programming and the fundamentals of machine learning concepts. Familiarity with web development principles can also enhance comprehension of FastAPI's functionalities. The book starts with essential setups, but prior knowledge will help readers grasp more complex ideas quickly. Studying relevant documentation and exploring API principles beforehand can provide additional support for readers.
  • вопрос: What makes this 2nd edition of the book different from the first?

    отвечать: The 2nd edition of 'Building Data Science Applications with FastAPI' incorporates updated content reflecting the latest advancements in FastAPI and Python. It includes new chapters focusing on practical deployment strategies, modern data handling techniques, and improved examples based on recent industry practices. These enhancements ensure that readers gain insights that are relevant and actionable, making it a must-have resource for anyone looking to master the current landscape of data applications.
  • вопрос: What are some practical applications of FastAPI in data science?

    отвечать: FastAPI is used in various practical applications within data science, including predictive analytics, real-time data processing, and creating dashboards for data visualization. For instance, users can build APIs that serve machine learning models for e-commerce recommendation systems or fraud detection processes. The speed and efficiency of FastAPI make it ideal for applications that require timely responses to user interactions, such as chatbots or dynamic data analysis tools leveraging ML algorithms.
  • вопрос: Are there any online resources or communities to supplement learning from the book?

    отвечать: Yes, there are many online resources and communities that can enhance your learning experience with FastAPI and data science applications. Websites like Stack Overflow or FastAPI's official documentation offer valuable insights and troubleshooting tips. Furthermore, participating in community forums on platforms like GitHub can provide connections with other learners and experts, facilitating idea exchange and problem-solving. These resources complement the book and help in practical application scenarios.
  • вопрос: Where can I buy 'Building Data Science Applications with FastAPI' in Tajikistan?

    отвечать: You can purchase 'Building Data Science Applications with FastAPI: Develop, manage, and deploy efficient machine learning applications with Python, 2nd Edition' on Ubuy. Ubuy is a reliable e-commerce platform that offers easy access to a wide range of books and resources, including those focused on data science and programming. Simply visit their website, search for the book, and you’ll have options to get it delivered to your location in Tajikistan.

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. **

Customer Reviews & Ratings

1 оценки клиентов
  • 5 звезда
    100%
  • 4 звезда
    0%
  • 3 звезда
    0%
  • 2 звезда
    0%
  • 1 звезда
    0%

Оцените этот товар

Поделитесь своими впечатлениями

Плюсы

  • 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.

Минусы

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

Platform Trust & Buyer Confidence

trustpilot logo
4.2/5 9477 отзывы
Read reviews
JK
Jasmin
Verified buyer

“Great products and very good service: very easy and very fast international delivery.”

9 September 2026 · via Trustpilot
AG
Anke
Verified buyer

“Wonderful online shopping experience, smooth transaction from the start. Payment method works conveniently and delivery is unexpectedly fast and reliable. You go the extra mile for service. What makes this even more amazing, you deliver to Namibia. I will remain a happy Ubuy customer and will increase my purchases for sure! Thank you!”

10 September 2026 · via Trustpilot
H
Hazel
Verified buyer

“Very easy to find the products what you need, and so fast delivery, that’s why I highly recommended to others costumers to used ubuy.”

10 September 2026 · via Trustpilot
O
Opaleye
Verified buyer

“I received exactly what I ordered I was skeptical about your site because that was my first time to order. But the order came timely and neatly packaged. I was not disappointed. Thank you.”

11 September 2026 · via Trustpilot
AC
Adele
Verified buyer

“Easy to find and order what you want on the website. Delivery is quick to the UK”

8 September 2026 · via Trustpilot
Безопасное оформление Global Delivery Easy Returns Genuine Products

Product Price History

Важная информация

  • Ограничения: обратите внимание, что для товаров, поставляемых за границу, гарантия производителя может быть недействительной; обслуживание от производителя может быть недоступно; руководства по эксплуатации, а также инструкции и предупреждения о безопасности могут быть не на языках страны назначения; товары (и сопутствующие материалы) могут не быть разработаны в соответствии со стандартами, спецификациями и требованиями к маркировке страны назначения; товары также могут не соответствовать напряжению в стране назначения и другим электрическим стандартам (при необходимости требуется использование адаптера или преобразователя). Получатель несет ответственность за обеспечение законного ввоза товара в страну назначения. При заказе через Ubuy или его аффилированных лиц получатель является зарегистрированным импортером и должен соблюдать все законы и правила страны назначения.
  • Не все товары на Ubuy выставлены на продажу, поскольку Ubuy — это глобальная поисковая система. На товары распространяются законы в области экспорта и торговли.

TJS 792

Закажите сейчас и получите товар приблизительно Пятница, Октябрь 09

QTY:

Secured transactionsecured transaction

PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.

Our Top Logistics Partners
  • fedex
  • dhl
Fastest cross-border delivery

Особенности и преимущества

  • 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.

Ubuy Assurance

Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.