Have you ever seen “@” symbols in Python code and wondered how they work and what they do? The expressions used with them are called decorators, and while they may seem magical at first glance, understanding them is not a masterpiece. In this post we are going to demystify the decorators in Python and explain what they do, how they work, and how you can create them yourself!
GRASP is an acronym for General Responsibility Assignment Software Principles. In this article, we want to point out the principles and how they work.
In Python, the dictionary is one of the most powerful data structures you can use. There are many features and techniques concerning dictionaries that you may not have on your radar yet, but they will help you to simplify your code and gain more flexibility. This post will present you the 10 most important dictionary-tricks in Python!
Most common programming languages feature the switch-case statement, while Python doesn’t. At first glance, you maybe ask why Python doesn’t support such a common and basic control pattern. This post will explain it and show alternatives for the switch statement!
Python differs from other programming languages in many ways, one of them is dynamic typing. You can’t specify explicit types for variables, functions, or any other object. However, since the missing type declarations can be confusing and misleading, Python 3.5 introduced Type Hints!
Every developer heard this sentence at least once before: “Use meaningful names for your variables!”. As I heard this advice for the first time, I thought: Nothing easier than that! I know the purpose of my variables, accordingly, it shouldn’t be a problem to give them good names. However, after months I read my code again and didn’t understand anything. This post will present a few tips and best practices for writing better names!
Comments are one of the first features everybody gets to know when learning a new programming language. They can be useful for describing the functionality of code-segments or giving additional information about some code. There are many good reasons to use comments. However, you should still keep a few things in mind when you write them!
The “Do one thing” rule for programming is essential to everyone’s clean code philosophy. Learn why and how to apply it.