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Название: Ultimate Web API Development with Django REST Framework: Build Robust and Secure Web APIs with Django REST Framework Using Test-Driven Development for Data Analysis and Management
Автор: Leonardo Luis Lazzaro
Издательство: Orange Education Pvt Ltd, AVA
Год: 2025
Страниц: 184
Язык: английский
Формат: epub
Размер: 10.1 MB

Mastering API development is crucial for building modern, scalable software solutions. Ultimate Web API Development with Django REST Framework is your comprehensive guide to achieving that mastery. This book will teach you how to create robust, secure, and efficient APIs using Django REST Framework and Test-Driven Development (TDD).

You’ll start by learning the essentials of building and testing APIs, followed by developing simple APIs with effective testing practices. The book then takes a deep dive into Data Science, helping you understand data models, processing, and handling asynchronous tasks for efficient data management. You’ll also learn techniques for securing and scaling APIs, ensuring your applications are prepared for real-world demands.

As you progress, you'll master documenting, optimizing, and deploying APIs for production environments. By the end of the book, you'll be equipped to create scalable, high-performance APIs that power data-driven applications, making you a valuable asset in any tech team. With practical examples and expert insights, this book will help you become a top-tier API developer and build robust, scalable APIs that excel in today’s fast-paced tech landscape.

This book is thoughtfully structured to guide readers through mastering the Django REST Framework. It introduces Python enthusiasts to the foundations of web APIs and illustrates their practical use in real-world scenarios. By the time you finish, you will have a thorough understanding of API architecture, enhanced Python programming skills, and hands-on experience developing a recommendation system.

Table of Contents:
1. Django REST and TDD Essentials
2. Building and Testing Basic APIs
3. Data Models and Processing in Data Science
4. Asynchronous Tasks and Data Processing
5. Securing and Scaling Data Science APIs
6. Developing a Data Science Project
7. Documenting and Optimizing Your API
8. Deploying Your Data Science API
9. Final Thoughts and Future Directions
Index





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