Author: Rahul

Django, the powerhouse web framework built on Python, offers robust functionalities out-of-the-box. One of its most crucial yet sometimes overlooked features is its capability to handle configuration using environment variables. Environment variables provide a way to set up configurations outside of the codebase, thereby allowing better security and flexibility. This article aims to simplify the concept of custom environment variables in Django and provide a hands-on approach to set them up like a pro. Why Use Environment Variables in Django? Before we delve deep into the configurations, let’s first understand why we even need environment variables: Security: Hardcoding sensitive data…

Django, a popular web framework in the Python ecosystem, is built to be flexible and secure. One way to enhance security is to avoid hardcoding sensitive information (like secret keys or database passwords) directly in the source code. Instead, such information should be stored in environment variables, which can be read into the Django application at runtime. Environment variables offer a level of abstraction and separation between configuration and code, which is beneficial in terms of security and portability. This article provides a comprehensive guide on how to read system environment variables in a Django project. 1. Setting Up Environment…

Setting up Laravel with Docker and Docker Compose is an excellent way to create a consistent development environment. Docker simplifies app deployment by packaging everything needed, from code to libraries, in isolated containers, so your Laravel app can run smoothly on any system. With Docker, developers can avoid the common “it works on my machine” problem by ensuring that everyone’s development setup is the same. Laravel, one of the most popular PHP frameworks, is great for building robust web applications, and pairing it with Docker makes it even easier to manage and deploy. In this guide, we’ll walk you through…

A local development environment is crucial for PHP developers to test and debug their applications. Traditionally, developers would rely on tools like XAMPP, MAMP, or WAMP, which provide a full-fledged LAMP stack (Linux, Apache, MySQL, PHP) for local development. However, as applications grow more complex and need to mimic production environments accurately, Docker has become the go-to solution. Docker allows developers to containerize their applications, ensuring that they run consistently across different environments. In this article, we will guide you through the process of setting up a PHP local development environment using Docker. Prerequisites Docker installed on your machine. If…

Composer is a dependency manager for PHP, allowing developers to declare the libraries their projects depend on. However, when working on multiple projects, developers can often find themselves in a position where they need to juggle different PHP versions. Fortunately, Linux, with its versatile environment, provides the flexibility to accommodate this scenario. This article guides you on how to use Composer effectively with different PHP versions in a Linux environment. Why Different PHP Versions? Different projects might require different PHP versions due to various reasons: Legacy Projects: Older projects might not be compatible with the latest PHP versions. Testing: Developers…

When programming in the C language, understanding division operations is crucial, especially when it comes to integer division. In C, the division operation might not work the same way as in regular arithmetic if you’re working with integers. This article will delve deep into the nuances of division in C, focusing on quotient and remainder operations. 1. Basic Division in C In C, the division operator is the forward slash (/). For floating-point numbers, it works as expected: double a = 5.0; double b = 2.0; double result = a / b; // result will be 2.5 However, things get…

Java, being a robust and versatile programming language, offers a plethora of arithmetic operations that one can utilize. Among these operations, division stands out due to its practical significance. In this article, we’ll explore how to compute the quotient and remainder in Java, elucidating the underlying concepts for beginners. 1. Basics of Division Before diving into Java specifics, let’s revisit the basics of division. When we divide one number (dividend) by another (divisor), we get: Quotient: The result obtained. Remainder: What’s left after the division. Example: When we divide 10 by 3, we get: Quotient: 3 Remainder: 1 2. Java…

Creating a basic calculator in Python is a popular beginner project that offers a hands-on approach to familiarize oneself with fundamental coding concepts. But as one progresses in the world of programming, it becomes intriguing to enhance basic applications with advanced functionalities. In this guide, we’ll first outline how to make a simple calculator in Python. Next, we’ll enhance this basic calculator to remember its previous result, allowing users to continue calculations from where they left off or start anew. The Program def add(x, y): return x + y def subtract(x, y): return x – y def multiply(x, y): return…

Creating directories in Python is a frequent operation, especially when managing files, logs, or organizing project structures. The `os` module in the Python Standard Library provides a method called `mkdir()` to create directories. Additionally, the `pathlib` module introduced in Python 3.4 also offers a more object-oriented way to handle filesystem paths and operations. This article will dive into different methods to create directories in Python. 1. Using the os module The `os` module is a built-in Python module that provides a way of interacting with the operating system. Example: import os # Create a directory named ‘example_dir’ os.mkdir(‘example_dir’) If the…

Python has been a preferred language for web development for many years, thanks to frameworks such as Django and Flask that have made web application development easier and more efficient. However, in recent years, there’s been an increasing demand for asynchronous web frameworks that can handle a large number of simultaneous connections, as is common with modern web apps. Enter FastAPI: a modern, asynchronous web framework that’s built on top of Starlette for web routing and Pydantic for data serialization/deserialization. FastAPI is designed to create RESTful APIs quickly and efficiently. It offers automatic interactive API documentation, type checking, and asynchronous…