Python Variables


 Variables in Python are used to store data and provide a way to reference and manipulate that data throughout the program. Variables are a fundamental concept that every Python developer must understand. By mastering variables, you gain the ability to store, manipulate, and harness the full potential of data in your programs.

Declaring and assigning variables

In Python, you can declare a variable simply by giving it a name and assigning a value to it using the assignment operator “=”. For example, consider the following code snippet:

message = "Hello, World!"

We have created a variable named “message” and assigned it the value “Hello, World!”. It’s important to note that Python is a dynamically typed language, which means you don’t need to explicitly specify the type of a variable. Python determines the type based on the value assigned to it.

Types of Variables

Python supports various types of variables, including strings, integers, and floats. Let’s take a closer look at each of these types.

String: A string is a sequence of characters enclosed in either single quotes (‘) or double quotes (“). Strings commonly represent text:

name = “John Doe”

Integer: An integer is a whole number without any decimal points. It can be positive, negative, or zero. For example:

age = 25

Float: A float, short for floating-point number, is a number that contains a decimal point. Floats represent numbers with fractional parts:

pi = 3.14

With these variable types, you can effectively store and manipulate different kinds of data in your scripts.

Manipulating variables

Python allows you to assign multiple values to multiple variables in a single line of code. This feature, known as multiple assignment or unpacking, can be quite useful in certain situations. Consider the following example:

x, y, z = 1, 2, 3

We just assigned the values 1, 2, and 3 to the variables x, y, and z, respectively. This technique can save you from writing multiple assignment statements and make your code more concise.

Printing variables and object references

Printing variables is a common practice in programming, as it helps in debugging and understanding the flow of data in a program. You can print the value of a variable using the “print()” function:

name = "John Doe"


This will output the value of the name variable, which is “John Doe”, to the console. Additionally, you can also print the object reference of a variable using the “id()” function. The object reference is a unique identifier assigned to each object in memory. For example:

name = "John Doe" print(id(name))

This will print the object reference of the name variable to the console. Understanding how to print variables and object references will greatly assist you in debugging and monitoring your workflows.

Global and local variables

In Python, variables can have different scopes, which determine where they can be accessed and modified within a program. The two main types of variable scopes are global and local.

Global variables: Global variables are defined outside of any function or class and can be accessed from anywhere within the program. For example:

x = 10  
def my_function():     


The variable “x” is a global variable, and it can be accessed and printed from within the my_”function()” function.

Local variables: Local variables are usually within a function or a block of code and can only be accessed within that specific scope:

def my_function():     
    y = 20     


In this example, the variable “y” is a local variable, and it can only be accessed and printed from within the “my_function()” function.
Understanding the difference between global and local variables is crucial for writing well-structured and maintainable code.

Deleting variables

You can delete a variable using the “del” keyword followed by the variable name. This removes the variable from memory and makes it inaccessible. For example:

x = 10 
del x

After executing this code, the variable “x” will no longer exist. It’s important to note that deleting a variable also deletes its reference to the object it was pointing to in memory. This is useful when you no longer need a variable and want to free up memory.

Examples and use cases of variables

Now that you have a solid understanding of Python variables, let’s explore some examples and use cases where variables come in handy.

  1. Data manipulation: Variables msin purpose is to store and manipulate data in software. For example, you can use variables to perform calculations, store user input, or process data from external sources.
  2. Control flow: Variables control the flow of your program by storing intermediate results or flags. For example, you can use variables to implement conditional statements, loops, or error handling.
  3. Function parameters and return values: Variables play a crucial role in passing data between functions. They can be used as function parameters to pass values into a function or as return values to retrieve data from a function.


Python and Excel Projects for practice
Register New Account
Shopping cart