When programming in Python, you might have noticed that lists are used more often than arrays. This might seem a bit odd if you’re used to programming in other languages like C++ or Java, where arrays are a fundamental data structure. So why do we call lists in Python instead of arrays?

The simple answer is that Python lists are more flexible and easier to work with than arrays. While arrays in other languages have a fixed size and data type, Python lists can hold any data type and can be resized at any time. This makes them very versatile and useful in a wide range of applications.

Another reason is that Python lists have many built-in functions that make them easier to manipulate and work with than arrays in other languages. For example, Python lists have functions like append() and extend() which allow you to easily add elements to the end of the list or concatenate two lists together.

Python lists are also more memory efficient than arrays in other languages. This is because Python lists only store pointers to the actual data, while arrays in other languages store the actual data itself. This means that if you have a list of large objects, Python lists will take up less memory than arrays in other languages.

So, while arrays might be the go-to data structure in other languages, Python lists provide more flexibility, built-in functions, and memory efficiency, making them the preferred choice in Python programming.