Lists can hold multiple values from "summary" of Python Programming by John M. Zelle
Lists are a fundamental data structure in Python that allow us to store multiple values within a single variable. This means we can group together related data items, such as a list of numbers, names, or even other lists. The ability to hold multiple values in a single list is one of the key features that make lists so versatile and powerful in programming. When we define a list in Python, we use square brackets [] and separate individual values with commas. For example, a list of numbers can be defined as [1, 2, 3, 4, 5], while a list of names can be defined as ['Alice', 'Bob', 'Charlie']. We can also have a list of lists, known as a nested list, where each element in the list is itself a list. This allows for more complex data structures to be created and manipulated. Lists in Python are dynamic, meaning they can grow or shrink in size as needed. We can easily add new elements to a list using the append() method, or remove elements using the remove() method. This flexibility makes lists a popular choice for storing and manipulating collections of data in Python programs. Another important feature of lists is that they are ordered, meaning the elements in a list are stored in a specific sequence and can be accessed by their index position. The first element in a list has an index of 0, the second element has an index of 1, and so on. This allows us to easily retrieve, update, or delete specific elements in a list based on their position. In addition to storing multiple values, lists in Python can also hold different types of data, such as integers, floats, strings, and even other objects. This makes lists a versatile data structure that can be used in a wide variety of applications. By understanding how lists can hold multiple values and how to work with them effectively, we can write more efficient and robust Python programs.
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