Скачать или смотреть One line list comprehension with different index using Python

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List comprehensions are a concise and expressive way to create lists in Python. They provide a compact syntax for generating lists by applying an expression to each item in an iterable. One-line list comprehensions are particularly powerful and can be used to achieve complex tasks with minimal code.
In this tutorial, we'll explore one-line list comprehensions with different index operations. We'll cover scenarios where you want to access elements at specific indices, apply conditions based on indices, and create new lists by combining elements at different positions.
The basic syntax of a list comprehension is as follows:
Here, expression is the operation or transformation you want to perform on each item in the iterable.
In this example, we create a new list (selected_elements) containing elements from the original_list at specific indices defined in indices_to_access.
Here, we use enumerate to get both the index (i) and the element (num) from the numbers list. We apply a condition based on the index to determine whether to keep the element as it is or double it.
In this example, we create a new list (combined_list) by combining elements at different indices from list1 and list2.
One-line list comprehensions in Python provide a concise and readable way to perform operations on lists. By incorporating different index operations, you can efficiently create new lists, filter elements, or perform complex transformations in just a single line of code. Experiment with these examples and adapt them to your specific use cases to leverage the power of one-line list comprehensions.
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