Variables in Python
Understanding Variables
In Python, a variable is a named storage location that holds a value. It's like a container that can store different types of data. Think of it as a label you attach to a piece of information.
Key characteristics of variables:
- Name: A unique identifier chosen by the programmer.
- Value: The data stored in the variable.
- Data type: The type of data the variable holds (e.g., integer, float, string, boolean).
Declaring Variables
In Python, you don't explicitly declare the data type of a variable. The interpreter automatically determines the data type based on the assigned value.
Python
x = 10 # Integer
name = "Alice" # String
is_student = True # Boolean
Variable Naming Conventions
- Use descriptive names that reflect the variable's purpose.
- Start with a letter (uppercase or lowercase) or an underscore (_).
- Can contain letters, numbers, and underscores.
- Avoid using Python keywords as variable names.
Assigning Values
You assign a value to a variable using the equal sign (=).
Python
age = 30
price = 9.99
Dynamic Typing
Python is dynamically typed, meaning the data type of a variable can change during program execution.
Python
x = 10 # x is an integer
x = "hello" # x is now a string
Best Practices
- Use meaningful variable names.
- Avoid single-letter variable names unless they are well-understood context (e.g., loop counters).
- Use consistent naming conventions (e.g., camelCase, snake_case).
- Consider using constants for values that don't change.
Example
Python
# Good variable names
student_name = "John Doe"
total_score = 95
# Bad variable names
x = 10 # Unclear meaning
a1b2 = "value" # Confusing
Additional Notes
- Variables are case-sensitive, so age and Age are different variables.
- You can use multiple assignment to assign values to multiple variables simultaneously:
Python
x, y, z = 1, 2, 3
By understanding these concepts, you can effectively use variables to store and manipulate data in your Python programs.