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Mastering the Art of Rangoli Design with Python: A Beginner's Guide #viral #video #viralvideo #short
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Python is a powerful, object-based, high-level programming language with dynamic typing and binding. Due to its flexibility and power, developers often employ certain rules, or Python design patterns. What makes them so important and what do does this mean for the average Python developer? In this post, Toptal Senior Software Engineer Andrei Boyanov explains why Python is great for design patterns, and how they can be used to unlock even more potential, or to streamline development and make code more maintainable.
Let’s say it again: Python is a high-level programming language with dynamic typing and dynamic binding. I would describe it as a powerful, high-level dynamic language. Many developers are in love with Python because of its clear syntax, well structured modules and packages, and for its enormous flexibility and range of modern features.
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In Python, nothing obliges you to write classes and instantiate objects from them. If you don’t need complex structures in your project, you can just write functions. Even better, you can write a flat script for executing some simple and quick task without structuring the code at all.
At the same time Python is a 100 percent object-oriented language. How’s that? Well, simply put, everything in Python is an object. Functions are objects, first class objects (whatever that means). This fact about functions being objects is important, so please remember it.
So, you can write simple scripts in Python, or just open the Python terminal and execute statements right there (that’s so useful!). But at the same time, you can create complex frameworks, applications, libraries and so on. You can do so much in Python. There are of course a number of limitations, but that’s not the topic of this article.
However, because Python is so powerful and flexible, we need some rules (or patterns) when programming in it. So, let see what patterns are, and how they relate to Python. We will also proceed to implement a few essential Python design patterns.
Let’s say it again: Python is a high-level programming language with dynamic typing and dynamic binding. I would describe it as a powerful, high-level dynamic language. Many developers are in love with Python because of its clear syntax, well structured modules and packages, and for its enormous flexibility and range of modern features.
#subscribe #viralshorts #python #design #reels #funny #funnyvideo #love #lovestatus #coding #code #programming
In Python, nothing obliges you to write classes and instantiate objects from them. If you don’t need complex structures in your project, you can just write functions. Even better, you can write a flat script for executing some simple and quick task without structuring the code at all.
At the same time Python is a 100 percent object-oriented language. How’s that? Well, simply put, everything in Python is an object. Functions are objects, first class objects (whatever that means). This fact about functions being objects is important, so please remember it.
So, you can write simple scripts in Python, or just open the Python terminal and execute statements right there (that’s so useful!). But at the same time, you can create complex frameworks, applications, libraries and so on. You can do so much in Python. There are of course a number of limitations, but that’s not the topic of this article.
However, because Python is so powerful and flexible, we need some rules (or patterns) when programming in it. So, let see what patterns are, and how they relate to Python. We will also proceed to implement a few essential Python design patterns.