Dynamic Typing — PyBasic

Dynamic Typing — Variables Can Change

In many programming languages, once you create a variable as a number, it must always be a number. Python is different — it's dynamically typed, which means a variable can hold any type of data, and you can change it at any time:

data = 100          # Right now, data is an integer
print(type(data))   # → <class 'int'>

data = "hundred"    # Now data is a string!
print(type(data))   # → <class 'str'>

data = 3.14         # Now it's a float!
print(type(data))   # → <class 'float'>

Python doesn't complain — it simply changes the label on the box to reflect the new content.

Is This a Good Thing?

It's convenient, but it can also cause bugs. If you accidentally overwrite a number with text, your math will break later. That's why:

◆
Use descriptive variable names —
```
user_age
```
is less likely to be accidentally reused than
```
x
```
◆Be consistent — if a variable starts as a number, try to keep it as a number

💡

💡 Fun fact: This flexibility is one reason Python is so popular for beginners — you don't have to declare types upfront like in Java or C++. But it means you need to be more careful about what your variables contain!