Lists
Lists are among Python’s most valuable and frequently used data types, and they are the heart
of countless programs. So, what exactly is a list
, and why are they so indispensable?
In essence, a list
is a dynamic and mutable sequence of values. Think of it as a versatile
bag storing various items—numbers, words, and even a medley of data types—all within a single
container. This flexibility makes lists an invaluable asset for any Python programmer.
Tip
Closely related to lists are tuples, which are immutable, but can be managed with similar syntax.
Let’s explore the concept further with a real-world analogy. Imagine you have a collection of names, distances, and mixed data types like this:
Example Python Lists | |
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In this example, users
contains a list
of names of string
types, distance_in_kms
stores
a list
of distances in int
type, and mixed_types
seemingly defies convention by accommodating
a diverse set of data types. Lists are compelling because they allow you to organize and manipulate
such data effortlessly.
Accessing List Items
List items can be accessed via their index system like this:
Accessing List Items via Indexc | |
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Returns:
Lists can even be accessed through negative indexing like this:
Negative Indexing of Lists | |
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Outputs:
Adding and Removing Items from Lists
What makes lists genuinely exceptional is their mutability. Unlike some data types in Python, lists can change and adapt as your program runs. Adding, removing, or modifying elements within a list makes it a dynamic tool for handling evolving data. This adaptability is particularly useful when managing data collections that may grow or shrink in size.
Appending Items to Lists | |
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Results in: