Recall & Review
beginner
What does dynamic typing mean in Python?
Dynamic typing means you don't have to declare variable types explicitly. Python figures out the type when you assign a value.
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beginner
Can a Python variable change its type during the program?
Yes! A variable can hold a value of one type and later hold a value of a different type without errors.
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beginner
Example: What is the type of 'x' after these lines?<br>
x = 5<br>x = 'hello'
After the first line, x is an integer. After the second line, x becomes a string. Python changes the type automatically.
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intermediate
Does dynamic typing mean Python is weakly typed?
No. Python is strongly typed because it keeps track of types and does not allow mixing incompatible types without explicit conversion.
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beginner
Why is dynamic typing helpful for beginners?
It lets you write code faster without worrying about types. You can focus on solving problems instead of declaring types.
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What happens when you assign a new value of a different type to a Python variable?
✗ Incorrect
Python variables can change types dynamically when assigned new values.
Which of these is true about Python's typing?
✗ Incorrect
Python determines variable types at runtime, so it is dynamically typed.
Is Python strongly typed or weakly typed?
✗ Incorrect
Python is strongly typed because it enforces type rules and does not allow implicit mixing of incompatible types.
What is a benefit of dynamic typing for new programmers?
✗ Incorrect
Dynamic typing lets beginners focus on logic without declaring types.
What type will variable 'a' have after these lines?<br>
a = 10<br>a = 3.14
✗ Incorrect
After assigning 3.14, 'a' becomes a float type.
Explain what dynamic typing means in Python and how it affects variable usage.
Think about how Python handles variable types when you assign new values.
You got /4 concepts.
Describe the difference between dynamic typing and strong typing in Python.
Consider how Python decides types and how strictly it enforces type rules.
You got /3 concepts.