If you’re working with Django and have to deal with 3rd-Party APIs, this will help you manage your tokens efficiently!
A common task when connecting to 3rd-party APIs is having to deal with API tokens. Usually, these tokens are most easily obtained by a single client authentication call to the API. In addition, they have timed lifespans, requiring you to regularly update them. Without any caching, you will most likely end up creating a new token for every call to the service, resulting in many redundant token requests and by extension, waste time on unnecessary API calls. In this article, I will explain how to setup a robust system that can automatically cache and renew the API token on your server. For this, I will be using Gfycat as my example as it uses token-based authentication and its tokens have short lifespans of one hour (at the time of writing this article). For more information on Gfycat’s developer API, you can check out their site, developers.gfycat.com. This article assumes you already know how to cache data in a Django server. If you would like to know more about that, I have written an article talking about exactly this right here! And with that aside, let’s jump into it.
For your custom Python development projects, hire our dedicated Python Developers on an hourly/full-time basis. We are experts in working with latest python frameworks.
Are you looking for experienced, reliable, and qualified Python developers? If yes, you have reached the right place. At **[HourlyDeveloper.io](https://hourlydeveloper.io/ "HourlyDeveloper.io")**, our full-stack Python development services...
Hire Python Developer from us for Scalable, Secure & Robust Python Web development Solutions. Strict NDA | 16+ Years Exp| 2500+ Clients| 450+ Experts
Looking to build robust, scalable, and dynamic responsive websites and applications in Python? At **[HourlyDeveloper.io](https://hourlydeveloper.io/ "HourlyDeveloper.io")**, we constantly endeavor to give you exactly what you need. If you need to...
In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.