In this tutorial, I will show you how to read, display, and write images using OpenCV's built-in functions.

In today's post, I will show you how to use Python and the internet of things to control a smart device. The internet of things is a system of interrelated sensors, software, and other technologies that can be connected to the internet ...

In this tutorial, we will tackle the Fashion MNIST dataset to train a neural network that will classify images of clothing. The dataset contains 70,000 grayscale images of 28 × 28 pixels each in 10 categories.

In OpenCV, images are simply Numpy arrays. So we can use Numpy array slicing to crop an image and remove the part we are not interested in.

Celery uses a result backend to keep track of the tasks’ states. In this tutorial, we are going to use the RPC (RabbitMQ/AMQP) result backend to store and retrieve the states of tasks.

Celery is a powerful asynchronous task queue based on distributed message passing that allows us to run time-consuming tasks in the background. Celery uses a message broker to communicate with workers. So, basically, Celery initiates a new task ...

Django provide the contenttypes framework that allows us to create generic relationships between models. This can be useful when you want to implement, for example, a comment system where you can comment on posts, user profiles, images ...

In this tutorial, we are going to use jQuery and AJAX to send requests to a Django backend to add the CRUD (Create, Read, Update, Delete) operations asynchronously. For this, we are going to build a simple todo application.