Interacting with Twilio’s platform is much easier than the expensive, complex and demanding phone number philippines world of telecommunications. Now that you know what we do, sign up and try our solution .RQ (Redis Queue) is a Python library that uses Redis to queue tasks and process them in the background using workers. It has a much lower barrier to entry and is much easier to use than other libraries such as Celery . RQ, and task queuing in general, is an ideal way to execute long-running or stop-code-containing functions, such as network requests.
RQ is easy to use: just create a queue and put the desired function in it, along with the arguments you want to pass to that function, according to the code in their "Hello World" example: Python Copy the code from redis import Redis from rq import Queue from my_module import count_words_at_url q = Queue(connection=Redis()) result = q.enqueue(count_words_at_url, 'http://nvie.com') Let's take a step-by-step look at how to use RQ to run a function that retrieves data from the Mars Rover API .
Configuring your environment and installing dependencies Before you continue, you'll need to make sure you have an up-to-date version of Python 3 and pip installed. Be sure to create and activate a virtual environment before installing any dependencies. We'll use the requests library to get data from NASA's Mars Rover API, and RQ for processing asynchronous tasks. With your virtual environment enabled, run the following command in your terminal to install the necessary Python libraries: Bash Copy the code pip install rq==1.