![]() Here I used “column” and “row” for explanation purposes but can be used directly in the “for loop” without the intermediate variables (as used in below List Comprehension). Here the output is 1 dimensional, and we need additional logic to convert to 2D matrix form. Suppose we have a 3x3 square matrix, and we want to create a matrix using this matrix where all diagonal values need to be square while other values need to be zeros. We have to careful in terms of the order of execution when we use nested list comprehension. We can use list comprehension for multiple nested “for” loops. An optional condition for the variable to filter or map or do some logical action. ![]() An iterable input sequence (this could be a list, a range, or any sequence) that we iterate using a variable name.List comprehension has these essential parts : Any list comprehension we can represent as a for loop, but when we represent it with equivalent list comprehension in a single line, it looks genuinely unique. In the core of list comprehension, it is the loop (‘for’ loop). At its most basic level, list comprehension is a syntactic construct for creating lists from existing lists. In python terminology, anything that we can loop over is called iterable. List comprehensions provide us with a simple way to create a list based on some sequence or another list that we can loop over. ![]() It allows one to perform complex operations on lists using a single line. List Comprehension is the proper “pythonic” way of building an accessible, concise, and fast way to build lists. List Comprehension provides a concise way to create lists. Python is a language of expressiveness in concise code, which is very elegant and easy to comprehend. Elegant, comfortable, concise, and fast way to build lists
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |