This article discusses list comprehensions in Python and how to use them to make your code more efficient and Pythonic.
List comprehensions help you in performing basic list operations with minimal code (usually with a single line of code). This makes your code efficient and Pythonic. Let’s look at an example to make the concept of list comprehensions clearer. Let’s create a list of integers from 0 to 9 and multiply each of the element in the list by 2. This can be done by iterating through each of the elements in the list using a for loop and multiply it by 2 and append it to an empty list.
In this post, we will be talking about how Python likes to deal with "list-like objects". We will be diving into some quirks of Python that might seem a bit weird and, in the end.
In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.
In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.
Tales about Programming from a YouTube Comments Discussion. “How do you think list comprehensions compare with the map/list/filter functions?“— Torin Faes.
This article is, therefore, my attempt to explain their applicability to lists, dictionaries and sets and how they could reduce the amount of code you need in everyday programming.