Learn more about computerscience with this collection
Understanding machine learning models
Improving data analysis and decision-making
How Google uses logic in machine learning
Understanding the purpose of the API can help you get a good idea of the kind of data the API collects as input and the kind of data it gives out. There are different formats of data used with APIs. Some examples are JSON, YAML, e.t.c.
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Implementing rate limiting on your API is essential in managing resources. This forces developers to take a more optimized approach to use your APIs. You can also build paid version of your API by increasing rate limits for paid customers.
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Building quality APIs is essential to facilitating equally quality web app. Think of this as a waiter in a restaurant having terrible habits. This will taint restaurant’s overall quality will be affected. We don’t want that, right? This series will look at some tips and best practices you should ...
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Documentation is essential to API development. It gives the users a firmer understanding of the API endpoints along with their functions, the API data types, and its overall workflow.
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Writing tests can not be overemphasized as it is also essential to building quality software. It helps solve security issues, resolve errors in the codebase, and test API workflow.
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An API should be easy to read as this will make it easy to understand. Readability includes API definitions and response messages. Writing readable code also applies to software development as this will make it easier for further development and collaboration with other developers. Use readable r...
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