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In today’s market, where rival web services compete for attention, a well-designed REST API is a must-have feature. This concise book presents a set of API design rules, drawn primarily from best practices that stick close to the Web’s REST architectural style. Along with rules for URI design and HTTP use, you’ll learn guidelines for media types and representational forms.
REST APIs are ubiquitous, but few of them follow a consistent design methodology. Using these simple rules, you will design web service APIs that adhere to recognized web standards. To assist you, author Mark Massé introduces the Web Resource Modeling Language (WRML), a conceptual framework he created for the design and implementation of REST APIs.
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Learn design rules for addressing resources with URIs
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Apply design principles to HTTP’s request methods and response status codes
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Work with guidelines for conveying metadata through HTTP headers and media types
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Get design tips to address the needs of client programs, including the special needs of browser-based JavaScript clients
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Understand why REST APIs should be designed and configured, not coded
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BSD UNIX Toolbox: 1000+ Commands for FreeBSD, OpenBSD and NetBSDExplore a ton of powerful BSD UNIX commands
This handy, compact guide teaches you to use BSD UNIX systems as the experts do: from the command line. Try out more than 1,000 commands to find and get software, monitor system health and security, and access network resources. Apply the skills you learn from this book to use and... | | Automated Deduction in Geometry: 8th International Workshop, ADG 2010, Munich, Germany
From July 22 to July 24, 2010, the Technische Universit¨at M¨unchen, Germany,
hosted the eighth edition of the now well-established ADG workshop dedicated
to Automatic Deduction in Geometry. From the first edition, which was held
in Toulouse in 1996, to ADG 2010, a slow mutation has taken place. The workshop
that was formerly... | | Python Data Analysis Cookbook
Key Features
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Analyze Big Data sets, create attractive visualizations, and manipulate and process various data types
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Packed with rich recipes to help you learn and explore amazing algorithms for statistics and machine learning
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Authored by Ivan Idris, expert in python programming and proud
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