In Python Environment, Celery is the open-source distributed task queue system for Python, mainly designed to execute the tasks asynchronously. This enables the separation of time-consuming resource-intensive tasks from the main application, allowing them to be processed in the background by distributed worker processes. In this article, we will see two different methods to upgrade or install the latest version of the Celery module in Python.

What is Celery in Python?

Celery is an open-source distributed task queue system in Python that is widely used for handling distributed work in web applications. It allows you to distribute the execution of tasks across multiple worker nodes, making it easier to scale and parallelize the processing of asynchronous tasks.

Features of Celery

1. Distributed Task Queue: Celery enables the execution of tasks asynchronously and distributes them across multiple worker processes or nodes.
2. Task Scheduling: It provides a mechanism for scheduling tasks to run at specific times or intervals.
3. Support for Multiple Message Brokers: Celery supports various message brokers such as RabbitMQ, Redis, and others, which are used for communication between the client and worker processes.
4. Scalability: Celery can scale horizontally by adding more worker nodes to handle an increasing number of tasks.
5. Task Result Storage: It supports result storage backends, allowing the results of completed tasks to be stored and retrieved later.

Upgrading Celery in Python

Below are some of the ways by which we can upgrade celery in Python:

Step 1: Check Current Version

Here, we will check the current version of celery installed in our system by using the following command.

pip show celery

Output:

Step 2: Upgrade Celery

First, open the command prompt with the administrative user on your system and execute the below command in the prompt to install Celery using PIP.

pip3 install --upgrade celery

Step 3: Verify the Upgradation

Once the installation is completed, our next task is to verify the successful installation. So we can verify it by checking the information about the library. Execute the below command in the prompt to verify.

pip3 show celery

Output: