In Python, loops are used to iterate over a sequence of values or perform a certain set of operations repeatedly. However, using nested loops, which means having a loop inside another loop, can lead to inefficient code and slower performance. Here's why: Increased computational complexity: With each additional nested loop, the computational complexity of the code increases exponentially. This means that the time taken to execute the code increases dramatically, making it less efficient. Memory usage: Nested loops can also use up more memory than necessary. When there are multiple loops, each iteration creates a new set of variables, which can take up a significant amount of memory. Code readability: Code with multiple nested loops can quickly become difficult to read and understand, making it harder for other programmers to work with your code. To improve code efficiency and readability, it's important to minimize the use of nested loops as much as possible. One way to do this ...