Python is a multipurpose language, beloved by data scientists and full stack engineers alike. It promotes clear and concise code, thanks to its syntactic sugarness and philosophy. In this article, I will explain in depth how the most anticipated Python feature works: structural pattern matching.
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New Python 3.10 Features You Must Try Out
Python is beloved by many data scientists and general-purpose developers for its simplicity and elegance. The latest version of Python, the 3.10 is currently in beta phase, but no new features will be added ahead of its final release in October of 2021. Now is just the time to learn about its new features ahead of schedule.
read more “New Python 3.10 Features You Must Try Out”Unit-testing in Python: If You Do Not Test Your Code, No One Will
Python is a multi-purpose language that is used for everything backend. In this article, I will teach you to perform basic unit testing in Python, how to mock modules, and make sure your code is clean.
read more “Unit-testing in Python: If You Do Not Test Your Code, No One Will”10 Advanced Python Interview Questions
With Python becoming more and more popular lately, many of you are probably undergoing technical interviews dealing with Python right now. In this post, I will list 10 advanced Python interview questions and answers.
read more “10 Advanced Python Interview Questions”Python Context Managers in Depth
Python is a particularly clean and sugary language, thanks to its many convenience features. In this post I will go into context managers in Python, how to use them, where to find them, and how to write your own ones.
read more “Python Context Managers in Depth”Why Do You Need Decorators in Your Python Code
Python is praised for its clarity and syntactic sugariness. In this article, I will teach you to use decorators in Python to make your code readable and clean.
read more “Why Do You Need Decorators in Your Python Code”Why Python Written In Python is Faster Than Regular Python
Let’s be honest: Python is slow. When I say Python, I mean CPython, it’s reference, C-based, implementation. This is where PyPy comes into play. This is a Python runtime, written in Python (!), which performs 4.4 times faster than CPython. How? Read ahead.
read more “Why Python Written In Python is Faster Than Regular Python”Abstract Classes and Meta Classes in Python
Abstract classes (or Interfaces) are an essential part of an Object-Oriented design. While Python is not a purely OOP language, it offers very robust solutions in terms of abstract and meta classes.
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