API Design Patterns
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Narrated by:
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Sarah Dawe
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By:
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JJ Geewax
About this listen
A collection of best practices and design standards for web and internal APIs
In API Design Patterns, you will learn:
- Guiding principles for API patterns
- Fundamentals of resource layout and naming
- Handling data types for any programming language
- Standard methods that ensure predictability
- Field masks for targeted partial updates
- Authentication and validation methods for secure APIs
- Collective operations for moving, managing, and deleting data
- Advanced patterns for special interactions and data transformations
API Design Patterns reveals best practices for building stable, user-friendly APIs. These design patterns can be applied to solve common API problems and flexibly altered to fit your specific needs. Hands-on examples and relevant use-cases illustrate patterns for API fundamentals, advanced functionalities, and even uncommon scenarios.
About the technology
APIs are contracts that define how applications, services, and components communicate. API design patterns provide a shared set of best practices, specifications, and standards that ensure APIs are reliable and simple for other developers to use. This book collects and explains the most important patterns from both the API design community and the experts at Google.
About the book
API Design Patterns lays out a set of design principles for building internal and public-facing APIs. Google API expert JJ Geewax presents patterns that ensure your APIs are consistent, scalable, and flexible. You’ll improve the design of the most common APIs, plus discover techniques for tricky edge cases. Relevant examples and detailed scenarios make every pattern clear and easy to understand.
About the audience
For developers building web and internal APIs in any language.
About the author
JJ Geewax is a software engineer at Google, focusing on Google Cloud Platform, API design, and real-time payment systems. He is also the author of Manning’s Google Cloud Platform in Action.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
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Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.
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A detailed examination of Tesla's work
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Run a Google search for “black girls” - what will you find? “Big Booty” and other sexually explicit terms are likely to come up as top search terms. But, if you type in “white girls”, the results are radically different. The suggested porn sites and un-moderated discussions about “why black women are so sassy” or “why black women are so angry” presents a disturbing portrait of black womanhood in modern society. In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities.
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Read this book. Tell everyone you know about it.
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Best Read in Print Format
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Bad ending - literally
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What listeners say about API Design Patterns
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- Review 1
- 09-18-24
Performance feels mechanical
I can't download the pdf, I can get a 900MB .aax file I cant open
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- JC
- 11-13-22
Narration is unbearable
Great topic and happy to see a book on this subject. But narration is unbearable. Constant mispronunciation (e.g., the word "important", which is said numerous times the wrong way) and referring to common concepts such as "GUI" as "gee-you-eye" instead of "gooey") are grating. Planning to read the book instead of the audio book.
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