Introduction The way Python handles garbage collection is miles apart from how Java does it. The approach taken by each of these languages impacts the performance and ease of use in multiple ways. In the world of programming, memory management is a critical aspect that can significantly impact the performance

Introduction In the world of Python development, the proper setup can significantly boost productivity and ensure that you can write robust scripts. A collection of libraries knit together can make a huge difference in the quality of programs that you write. From command-line argument parsing to HTTP request handling — This

Introduction Python is not a strongly typed language — which means things can go wrong at runtime. Python provides you with a dynamic environment, where variables don’t need a declared type before use, flexibility comes hand-in-hand with the challenge of unexpected runtime errors. These errors often stem from data not

Introduction Welcome to the first post in the series of Defensive Programming. In this series, I am going to cover how to write code in Python that helps you sleep well at night. Code that you can rely on to work in production and not fail you unexpectedly. Python is

Introduction When you’re developing a serious Python application, you’ll often need configuration parameters that can change based on where the application is running. Environment variables are a great way to handle this because they allow you to adjust settings without changing your application code. Just tweak the environment