You MUST know the differences between Python data structures and when you should them

In Python:

Let’s imagine you have different types of containers to hold your toys. Each container is like a special box with its own way of organizing toys.

1. Lists are like your toy box: You can put many toys in it, and they keep their order. So, if you put toy A first and toy B next, they will stay in that order. Lists are great when you want to keep things in a sequence, like a list of your favorite candies.
2. Tuples are like a locked treasure chest: Once you put toys inside, you can’t change them or add more toys. They stay exactly as they are. Tuples are useful when you have some toys that you don’t want to change.
3. Sets are like a magic bag: You can put lots of toys inside, but it won’t let you have the same toy twice. If you try to put the same toy again, it just keeps one. Sets are good when you want to make sure you have only unique toys, like a set of different-colored marbles.
4. Dictionaries are like a phone book: You have the names and phone numbers of your friends. You can quickly find a friend’s phone number by looking up their name. Dictionaries are handy when you want to store information about things and find them easily, like knowing your friend’s favorite toy.

So, you use different containers based on how you want to organize your toys.

Lists when you want to keep them in order, tuples when you don’t want to change them, sets when you want only unique toys, and dictionaries when you need to find specific toy-related information quickly.

In Python, each container has its superpower!