list comprehension python 2d array

Title: Understanding List Comprehension for 2D Arrays in Python
Introduction:
List comprehension is a concise and powerful way to create lists in Python. When dealing with 2D arrays, list comprehension can be especially handy for creating and manipulating nested lists efficiently. In this tutorial, we'll explore the basics of list comprehension and how to use it for 2D arrays in Python.
List Comprehension Basics:
List comprehension provides a concise way to create lists. The basic syntax is:
List Comprehension for 2D Arrays:
Let's consider a 2D array and see how list comprehension can be applied.
In this example, we use nested loops in the list comprehension to iterate over each row and element in the 2D array, effectively flattening it into a 1D list.
Applying Operations to 2D Arrays:
List comprehension can also be used to apply operations to elements in a 2D array.
Here, we square each element in the original 2D array and create a new 2D array with the squared values.
Filtering 2D Arrays:
You can use a condition in list comprehension to filter elements based on a certain criterion.
In this example, we create a list containing only the even numbers from the 2D array.
Conclusion:
List comprehension is a concise and expressive feature in Python, and when used with 2D arrays, it can simplify code and make it more readable. Whether you're flattening arrays, applying operations, or filtering elements, list comprehension provides an elegant solution for working with 2D arrays in Python.
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