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Find a path to becoming a RESTful API Development. Learn more at:
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Reading list
We've selected nine books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
RESTful API Development.
Strictly focuses on RESTful API development, and provides a great number of recipes for common REST API use cases. It includes chapters on topics like building and testing RESTful services, handling common HTTP request types, and securing RESTful APIs.
Teaches you how to build RESTful APIs using Python and the Flask framework. It includes chapters on topics like designing RESTful APIs, handling HTTP request types, and securing RESTful APIs. It also includes code samples and practice exercises.
Provides a comprehensive overview of data-intensive applications and includes chapters on topics like data modeling, data storage, and data processing. It also includes case studies and real-world examples.
Provides a comprehensive overview of big data and includes chapters on topics like data collection, data analysis, and data visualization. It also includes case studies and real-world examples.
Provides a comprehensive overview of deep learning and includes chapters on topics like neural networks, convolutional neural networks, and recurrent neural networks. It also includes case studies and real-world examples.
Provides a comprehensive overview of machine learning and includes chapters on topics like supervised learning, unsupervised learning, and reinforcement learning. It also includes case studies and real-world examples.
Provides a comprehensive overview of artificial intelligence and includes chapters on topics like search, planning, and natural language processing. It also includes case studies and real-world examples.
Provides a comprehensive overview of natural language processing and includes chapters on topics like natural language understanding, natural language generation, and machine translation. It also includes case studies and real-world examples.
Provides a comprehensive overview of computer vision and includes chapters on topics like image formation, image processing, and object recognition. It also includes case studies and real-world examples.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/bw2b0f/restful