Now that you’ve learned the syntax, it’s time to start coding. Python List Comprehension Syntax (Image by author) Using this, we can simplify the syntax, as shown in the image below. In essence, you’d like to do something for all items in the list (or any iterable) to get a new list. is the output that you’d like to compute for every in the.Any Python object that you can loop through and access individual items-such as lists, tuples, and strings are iterables. in signifies that you’re looping through an iterable.In Python, lists are delimited by a pair of square brackets -hence you need to enclose the list comprehension statement within.The general syntax for list comprehension is shown below. However, you can do this more easily using list comprehension in Python. Note: In Python, the exponentiation operator ** is used with the syntax: num**pow-the number num is raised to the power pow. Finally, append the cubed value to the list num_cubes.Access each number num, and compute its cube using the exponentiation operator: num**3.In the above code, we have the following steps: Here’s how you’ll do it using a for loop in Python: nums = And you’d like to create another list that contains the cube of all the numbers in nums. Suppose you have a list number of numbers nums. Let’s dive in.□ How to Create Python Lists Using for Loops In addition, you’ll also code several examples that will help you understand list comprehensions better.
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