Python Roadmap

Lists

Lists are one of the most commonly used data structures in Python. They are ordered and mutable, which means you can change their content after creation. Lists can store any type of data - strings, numbers, or even other lists. This makes them powerful and flexible for a wide range of tasks.

• Create a List: Start by creating a list with 5 elements. These could be fruits, numbers, or a mix of data types.
• Access Elements: Use both positive and negative indices to retrieve items from the list.
• Modify the List: Learn how to append, insert, remove, or update elements using built-in methods.
• Slice the List: Use slicing to create sublists by selecting a specific range of elements.
• Iterate Through the List: Use loops (like for or while) to go through each item and perform operations on them.

Tuples

Tuples are also ordered collections, just like lists, but with one key difference - they are immutable. Once a tuple is created, you can't change its content. Tuples are ideal when you want to store data that should not be altered, like coordinates, configuration settings, or fixed values.

• Create a Tuple: Define a tuple containing different types of data, such as strings, numbers, or booleans.
• Access Elements: Retrieve elements using index positions, just like you would with a list.
• Tuple Operations: Perform operations like concatenation (+) and repetition (*), or check membership with in.
• Convert to a List: If you need to modify the tuple, convert it into a list, make the changes, and convert it back if needed.