Python Variables

In Python, variables are used to store data that can be referenced and manipulated during program execution. A variable is essentially a name that is assigned to a value. Unlike many other programming languages, Python variables do not require explicit declaration of type. The type of the variable is inferred based on the value assigned.

Variables act as placeholders for data. They allow us to store and reuse values in our program.

Example:

# Variable 'x' stores the integer value 10
x = 5

# Variable 'name' stores the string "Samantha"
name = "Samantha"  

print(x)
print(name)

5
Samantha

In this article, we’ll explore the concept of variables in Python, including their syntax, characteristics and common operations.

Rules for Naming Variables

To use variables effectively, we must follow Python’s naming rules:

• Variable names can only contain letters, digits and underscores (_).
• A variable name cannot start with a digit.
• Variable names are case-sensitive (myVar and myvar are different).
• Avoid using Python keywords (e.g., if, else, for) as variable names.

Valid Example:

age = 21
_colour = "lilac"
total_score = 90

Invalid Example:

1name = "Error"  # Starts with a digit
class = 10       # 'class' is a reserved keyword
user-name = "Doe"  # Contains a hyphen

Assigning Values to Variables

Basic Assignment

Variables in Python are assigned values using the = operator.

x = 5
y = 3.14
z = "Hi"

Dynamic Typing

Python variables are dynamically typed, meaning the same variable can hold different types of values during execution.

x = 10
x = "Now a string"

Multiple Assignments

Python allows multiple variables to be assigned values in a single line.

Assigning the Same Value

Python allows assigning the same value to multiple variables in a single line, which can be useful for initializing variables with the same value.

a = b = c = 100
print(a, b, c) 

100 100 100

Assigning Different Values

We can assign different values to multiple variables simultaneously, making the code concise and easier to read.

x, y, z = 1, 2.5, "Python"
print(x, y, z) 

1 2.5 Python

Type Casting a Variable

Type casting refers to the process of converting the value of one data type into another. Python provides several built-in functions to facilitate casting, including int(), float() and str() among others.

Basic Casting Functions

• int() - Converts compatible values to an integer.
• float() - Transforms values into floating-point numbers.
• str() - Converts any data type into a string.

Examples of Casting:

# Casting variables
s = "10"  # Initially a string
n = int(s)  # Cast string to integer
cnt = 5
f = float(cnt)  # Cast integer to float
age = 25
s2 = str(age)  # Cast integer to string

# Display results
print(n)  
print(f)  
print(s2)  

10
5.0
25

Getting the Type of Variable

In Python, we can determine the type of a variable using the type() function. This built-in function returns the type of the object passed to it.

Example Usage of type()

# Define variables with different data types
n = 42
f = 3.14
s = "Hello, World!"
li = [1, 2, 3]
d = {'key': 'value'}
bool = True

# Get and print the type of each variable
print(type(n))   
print(type(f)) 
print(type(s))   
print(type(li))     
print(type(d))     
print(type(bool))  

<class 'int'>
<class 'float'>
<class 'str'>
<class 'list'>
<class 'dict'>
<class 'bool'>

Object Reference in Python

Let us assign a variable x to value 5.

x = 5

When x = 5 is executed, Python creates an object to represent the value 5 and makes x reference this object.

Now, if we assign another variable y to the variable x.

y = x

Explanation:

• Python encounters the first statement, it creates an object for the value 5 and makes x reference it. The second statement creates y and references the same object as x, not x itself. This is called a Shared Reference, where multiple variables reference the same object.

Now, if we write

x = 'Geeks'

Python creates a new object for the value "Geeks" and makes x reference this new object.

Explanation:

• The variable y remains unchanged, still referencing the original object 5.

If we now assign a new value to y:

y = "Computer"

• Python creates yet another object for "Computer" and updates y to reference it.
• The original object 5 no longer has any references and becomes eligible for garbage collection.

Key Takeaways:

• Python variables hold references to objects, not the actual objects themselves.
• Reassigning a variable does not affect other variables referencing the same object unless explicitly updated.

Delete a Variable Using del Keyword

We can remove a variable from the namespace using the del keyword. This effectively deletes the variable and frees up the memory it was using.

Example:

# Assigning value to variable
x = 10
print(x) 

# Removing the variable using del
del x

# Trying to print x after deletion will raise an error
# print(x)  # Uncommenting this line will raise NameError: name 'x' is not defined

Explanation:

• del x removes the variable x from memory.
• After deletion, trying to access the variable x results in a NameError, indicating that the variable no longer exists.

Practical Examples

1. Swapping Two Variables

Using multiple assignments, we can swap the values of two variables without needing a temporary variable.

a, b = 5, 10
a, b = b, a
print(a, b)  

10 5

2. Counting Characters in a String

Assign the results of multiple operations on a string to variables in one line.

word = "Python"
length = len(word)
print("Length of the word:", length) 

Length of the word: 6

Scope of a Variable

In Python, the scope of a variable defines where it can be accessed in the program. There are two main types of scope: local and global.

Local Variables:

• Defined within a function or block, accessible only inside that scope.
• Destroyed once the function/block ends.
• Temporary, used for short-term data.

Global Variables:

• Defined outside functions, accessible throughout the program.
• To modify within a function, use the global keyword.
• Persist in memory for the program’s duration, useful for shared data.

To learn about it in detail, refer to local and global.

Python Quiz:

• Python Variable Quiz

Related Posts:

• Global and Local Variables in Python
• Scope of Variables
• int() in Python
• float() in Python
• str() in Python
• Assign function to a Variable in Python
• Insert a Variable into a String in Python
• Type Casting in Python

Recommended Problems:

• Type Conversion
• TypeCast And Double It
• Swap The Numbers
• Sum of N Numbers
• Int Str

Python Variables - Python

What is the scope of a variable in Python?

The scope of a variable determines where it can be accessed. Local variables are scoped to the function in which they are defined, while global variables can be accessed throughout the program.

Can we change the type of a variable after assigning it?

Yes, Python allows dynamic typing. A variable can hold a value of one type initially and be reassigned a value of a different type later.

What happens if we use an undefined variable?

Using an undefined variable raises a NameError. Always initialize variables before use.

How can we delete a variable in Python?

We can delete a variable in Python using the del keyword:

x = 10
del x
#print(x)  # Raises a NameError since 'x' has been deleted

Variables in Python

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