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In this article we'll explore a few methods of using native Python features to sort, filter, and remap data from an external REST API that you can then use within your application, or pass down to a client as part of your own API.

APIs are everywhere within your organization. Many may be internal, but we’re willing to bet there are many third-party web services and APIs that your business depends on too. Keeping track of them all, and ensuring that your team chooses the best APIs for their needs can be a challenge. In some cases, your organization may be using an API they don’t even know about. The solution to this “web of APIs” is to apply the concept of API governance to your API dependencies.

Twitter has officially released its new API, aka version 2. Introduced as a full rebuild "from the ground up to better support developers", let's see if they kept there premises...

Python is in the midst of a resurgence. It never went away, but usage now grows like never before. With machine learning developers and data scientists relying on Python, much of the web development ecosystem around the language continues to grow.

Modern applications aren’t built in silos. They rely on the features of other applications. This reliance can come in the form of open-source libraries, access to a wealth of data, or complex features distilled down into a consumable API.

Webhooks run a large portion of the "magic" that happens between applications. They are sometimes called reverse APIs, callbacks, and even notifications. This allows your application to listen for events and perform actions when they happen. Let's see how to use them in Python

Bearer API client for Python