Final Answer:
The given statement ": A list comprehension's expression can perform tasks, such as calculations, that map elements to new values (possibly of different types)" is True.
Step-by-step explanation:
A list comprehension's expression is indeed capable of performing tasks, including calculations, that map elements to new values, potentially of different types. This feature is a powerful aspect of list comprehensions in programming languages like Python.
List comprehensions provide a concise and expressive way to create lists by applying an expression to each element in an existing iterable. The expression within a list comprehension can involve calculations or transformations, allowing for the creation of new lists with modified or derived values. For example, in Python, you can use a list comprehension to create a list of squares for each element in an existing list with the expression `[x**2 for x in original_list]`.
This capability extends beyond simple arithmetic operations; it can involve complex calculations or even conditional logic within the expression. The flexibility of list comprehensions makes them a versatile tool for manipulating and transforming data structures efficiently.