[ Python Basics - Dynamic Typing ]
( To follow - https://lnkd.in/d62YuzpW )
In Python, variables have a 'What's in a type?' philosophy.
- variables are dynamic
- which means you don't have to declare their type explicitly.
The type of a variable is determined by the value it holds, and it can change during the execution of your program.
Here's a breakdown:
๐ธDynamic Typing
x = 5 # x is an integer
x = โhelloโ # x is now a string
x initially holds an integer value (5) and later is assigned a string value (โhelloโ).
Python allows this kind of flexibility.
๐ธType Inference
- The interpreter keeps track of the types during runtime.
๐ธVariable Reassignment
- You can reassign a variable to a value of a different type.
y = 3.14 # y is a float
y = โworldโ # y is now a string
๐ธType Checking
- Python doesn't require explicit type declarations, but it is still important to understand and be aware of the types.
- You can use functions like type() to check the type of a variable.
z = 42
print(type(z)) # Output:
- This dynamic nature provides flexibility but also requires careful handling to avoid unexpected errors.
_________________
You can connect or follow - Mayank Ahuja
image - reddit
#python #basics #technology
( To follow - https://lnkd.in/d62YuzpW )
In Python, variables have a 'What's in a type?' philosophy.
- variables are dynamic
- which means you don't have to declare their type explicitly.
The type of a variable is determined by the value it holds, and it can change during the execution of your program.
Here's a breakdown:
๐ธDynamic Typing
x = 5 # x is an integer
x = โhelloโ # x is now a string
x initially holds an integer value (5) and later is assigned a string value (โhelloโ).
Python allows this kind of flexibility.
๐ธType Inference
- The interpreter keeps track of the types during runtime.
๐ธVariable Reassignment
- You can reassign a variable to a value of a different type.
y = 3.14 # y is a float
y = โworldโ # y is now a string
๐ธType Checking
- Python doesn't require explicit type declarations, but it is still important to understand and be aware of the types.
- You can use functions like type() to check the type of a variable.
z = 42
print(type(z)) # Output:
- This dynamic nature provides flexibility but also requires careful handling to avoid unexpected errors.
_________________
You can connect or follow - Mayank Ahuja
image - reddit
#python #basics #technology