When to use a tuple vs list vs dictionary in Python?

In Python, choosing between tuples, lists, and dictionaries depends on the specific requirements of the application regarding data manipulation, access, and storage. Here’s a detailed explanation of when to use each:

Tuples

Tuples are immutable collections, which means once a tuple is created, its contents cannot be modified. This immutability makes tuples a suitable choice in the following scenarios:

• Constant Data: Use tuples when you need to store data that should not change through the course of a program. For example, days of the week or directions (North, South, East, West).
• Performance: Tuples can be slightly faster than lists due to their immutability, making them beneficial in performance-sensitive applications, especially when dealing with a large amount of constant data[1].
• Safe Data: Since tuples are immutable, they can be used as keys in dictionaries, which is not possible with lists due to their mutable nature[2][3].
• Function Arguments and Return Values: Tuples are commonly used to pass multiple values between functions, particularly when you want to ensure that the data being passed is not altered[2].

Lists

Lists are mutable sequences, which makes them ideal for cases where you need to modify data, such as adding, removing, or changing elements. Use lists in the following scenarios:

• Dynamic Data Storage: Lists are perfect for storing collections of data that may change during the execution of a program, such as user-generated content or results from computations[9][13].
• Order Matters: If the order of the elements is important for the application, lists maintain the order in which elements are inserted[9].
• Accessibility: Lists allow you to access elements by their position in the collection, which is useful for iteration or when the order of elements is significant[9].

Dictionaries

Dictionaries are mutable mappings of keys to values and are optimized for retrieving data. Use dictionaries in the following scenarios:

• Fast Lookup: Dictionaries provide very fast lookups by key and are ideal when you need to access elements by an identifier, such as retrieving a user's details using a user ID[14][1...