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A variable in Python is a name that refers to a value stored in memory. Variables are used to store data of different types like strings, numbers, lists, etc. Here are some important things to know about Python variables:
1. Declaration: In Python, you don't need to declare variables explicitly. You can create a variable simply by assigning a value to it.
Example:
```
a = 10
name = "John"
```
2. Naming convention: Variable names in Python can contain letters, numbers, and underscores. They cannot start with a number. It is recommended to use lowercase letters for variable names.
Example:
```
my_variable = 5
```
3. Data types: Python supports many data types like integers, floats, strings, lists, tuples, dictionaries, etc. When you assign a value to a variable, Python automatically assigns the appropriate data type to it.
Example:
```
a = 10 # integer
b = 3.14 # float
c = "Hello" # string
d = [1, 2, 3] # list
e = {"name": "John", "age": 30} # dictionary
```
4. Dynamic typing: Python is dynamically typed, which means that you can change the data type of a variable by assigning a new value to it.
Example:
```
a = 10 # integer
a = "Hello" # string
```
5. Scope: The scope of a variable determines where it can be accessed. Variables declared inside a function have local scope and can only be accessed within that function. Variables declared outside a function have global scope and can be accessed from anywhere in the program.
Example:
```
def my_function():
x = 10 # local variable
print(x)
my_function()
print(x) # this will give an error because x is not defined in this scope
```
6. Mutable vs Immutable: Some data types in Python are mutable, which means that their values can be changed. Other data types are immutable, which means that their values cannot be changed.
Example:
```
# Immutable data types
a = 10
b = "Hello"
c = (1, 2, 3)
# Mutable data types
d = [1, 2, 3]
e = {"name": "John", "age": 30}
```
These are some of the key things to know about Python variables. Variables are an important concept in programming, and understanding them is essential for writing effective Python code.
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