Python tutorial 13 | Data Structures: Lists, tuples, dictionaries, sets

Hey everyone! Welcome back to the Ok Dev! Today, we're diving into one of the most fundamental topics in Python programming: data structures! We’ll explore lists, tuples, dictionaries, and sets, and see how each of these can be used in our Python projects. Let’s get started!

First up, we have lists. Lists are ordered collections that can hold a variety of data types. They are mutable, meaning we can change them after creation.

As you can see, we can easily add elements to our list and iterate through it. Lists are great for when you need to maintain the order of elements.

Next, we have tuples. Tuples are similar to lists, but they are immutable, which means once you create them, you cannot change them.

Tuples are often used for fixed collections of items, like coordinates or RGB values, where you don’t want any accidental modifications.

Now, let’s move on to dictionaries. Dictionaries are collections of key-value pairs. They are unordered and mutable.

Dictionaries are extremely useful for storing related information, allowing you to access values efficiently using keys.

Finally, we have sets. Sets are unordered collections of unique elements. They are great for eliminating duplicate values.

Sets are useful when you want to ensure that your collection has no duplicates and when order does not matter.

To wrap up, we’ve covered four essential data structures in Python: lists, tuples, dictionaries, and sets. Each of these has its own unique features and use cases, so be sure to choose the right one for your needs!

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