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# Data Types in Python

**[Medium](https://daily.dev/sources/medium_js)** · 5 min read · 0 upvotes · 0 comments

## Summary

A beginner-friendly overview of Python's built-in data types including integers, floats, complex numbers, strings, lists, tuples, dictionaries, sets, and None. Each type is explained with simple examples and a practical use case drawn from a student course management scenario, demonstrating how different types serve different real-world purposes.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://concept-breaker.medium.com/data-types-in-python-fe29b9ec58bb>

## Questions this post answers

### Why does the memory address of a Python tuple change after I try to update it?

Tuples are immutable in Python, so attempting to modify one does not change it in place; instead, Python creates a brand new tuple object and reassigns the variable name to it. Calling id() before and after the update returns different values, confirming the object occupies a new memory address rather than being mutated.

_Developers debugging unexpected object identity issues in Python can find quick clarifications like this on daily.dev._

### What is the difference between a Python list and a tuple?

A list is mutable, meaning items can be added, removed, or updated after creation, while a tuple is immutable, so once created its elements cannot be changed. Both are ordered and can store items of different data types, but tuples offer more data security since any 'update' actually produces a new tuple object.

_Choosing between mutable and immutable collections in Python is easier with references curated on daily.dev._

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