If you’re looking to develop a robust and scalable web application using Django, it’s crucial to follow best practices. In this post, we’ll cover some essential best practices for secure, efficient, and maintainable Django development. We’ll discuss the Model-View-Template (MVT) design pattern, Django’s built-in security features, serializers, authentication and authorization system, and ORM optimization techniques. By following these best practices, you’ll be able to create a Django application that is not only secure and scalable but also easier to maintain over time.

Looking to showcase your Django development skills to potential employers? Look no further than the “Django Property Management App on Azure”. This project is a perfect example of how to create a fully functional property management web application using Django and deploy it on Azure. The app features user authentication and authorization, property listing and management, photo upload and management, and deployment to Azure App Service. It’s a great way to demonstrate your skills and attract the attention of hiring managers. Check out the project on GitHub and start building your portfolio today!

In this tutorial, you will learn how to create a serverless Flask API with Azure Functions. You will start by creating a new Function App in the Azure portal and configuring its settings. Then, you will create a new Flask app and API routes, and test the API locally. Finally, you will deploy the Flask API to Azure Functions and learn how to test it using both the Azure portal and a REST client.

Are you ready to build a Flask app and deploy it to Azure App Service? Flask is a popular Python web framework that allows you to build lightweight and scalable web applications. By the end of this tutorial, you’ll have a Flask app running on Azure App Service.

In this tutorial, we’ll learn how to build a RESTful API using two popular Python libraries: Flask and SQLAlchemy. We’ll start by introducing the basics of RESTful APIs, including what they are, how they work, and some common use cases. Then, we’ll dive into the implementation details, showing you how to install and use Flask and SQLAlchemy to build a basic API that can create, read, update, and delete data from a database.

Learn the basics of web scraping in Python with our beginner-friendly tutorial. We’ll show you how to send HTTP requests, parse HTML content using the BeautifulSoup library, and extract relevant data for storage in popular file formats like CSV, JSON, and XML. Along the way, we’ll cover best practices for error handling and organization, as well as provide resources for further reading and learning. Whether you’re a data scientist, programmer, or web developer, our tutorial will give you the tools you need to start scraping and analyzing web data with Python.

Are you stuck trying to figure out how to tell if a linked list has a cycle in Python? No problem! This post will go through the code and explain the time and space complexity of the solution in simple terms. If you want to explore the code and find out how it all works, keep reading!

In this post, we will be discussing the implementation of a Stack data structure in Python using the Merge Sort algorithm. A Stack is a collection of elements where the two principal operations are push and pop, adding and removing elements respectively. The Stack should be able to handle the following operations: push, pop, peek, and isEmpty. In addition, the stack should also be sorted in ascending order using the Merge Sort algorithm. Understanding the problem and understanding the concept of the Stack data structure and Merge Sort will be crucial in tackling this problem and writing a working algorithm.