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Python Tutorial for Beginners (Lesson 5): Learn lists in Python with examples, screenshots, and exercises – list creation, indexing, slicing, and methods explained.
Welcome back to the Python Tutorial Series for Beginners! 🎉
In Lesson 4, we explored strings – how to create them, manipulate them, and use powerful built-in methods.
Now in Lesson 5, we’re diving into lists – one of the most useful and versatile data structures in Python.
By the end of this lesson, you’ll understand:
A list is a collection of items (elements) stored in a specific order. You can store numbers, strings, or even other lists inside a list.
[]
Just like strings, lists are indexed (starting at 0).
Lists are mutable (you can change them after creation).
You can extract parts of a list using slicing.
Python provides many built-in methods for working with lists.
You can store lists inside other lists (like a 2D table).
Try these in a new file (lesson5.py):
[1,2,3,4,5,6,7]..append().remove()In this lesson, you learned:
✅ Lists are collections of items in square brackets
✅ You can access, modify, and slice list elements
✅ Lists have powerful built-in methods
✅ You can even nest lists for multi-dimensional data
Next up: Lesson 6 – Tuples in Python (an introduction to immutable sequences). 📚
I'm Kingsley Odume, a Django, Flask, and FastAPI developer with experience building SaaS platforms, APIs, and modern web apps. If you're a recruiter or business owner looking for a reliable software developer, let's connect!
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