Modules

Introduction To Python
  1. Advantages Of Learning Python As The First Programming Language
  2. Easy Python Setup Guide For Beginners
Basic Syntax And Variables
  1. Python Syntax Fundamentals
  2. Python Variables And Data Types
  3. Python Basic Operations
Control Flow
  1. Python Conditional Statements
  2. Python Loops
Functions And Modules
  1. Defining And Calling Python Functions
  2. Introduction To Python Modules And Importing
  3. Understanding Python Built In Functions Part 1
  4. Understanding Python Built In Functions Part 2
  5. Understanding Python Built In Functions Part 3
  6. Understanding Python Built In Functions Part 4
  7. Understanding Python Lambda Functions
Python Lists And Touples
  1. Manipulate Python Lists And Touples
  2. 5 Ways To Remove Items From A Python List By Index
  3. 5 Different Approaches To Check For Duplicate Values In Python Lists
  4. 5 Different Approaches To Check For A Specific Value In Python Lists
  5. 5 Various Approaches To Modify Elements In Python Lists
  6. Understanding Shallow Copy And Deep Copy In Python Lists
  7. 6 Various Approaches To Duplicating Lists In Python
  8. Exploring 8 Various Iteration Techniques In Python Lists
  9. Exploring Python List Concatenation Methods
  10. All You Must Know About Python Slicing
  11. Exploring Various Methods For Comparing Python Lists
  12. Converting Various Data Types To Python Lists
  13. Removing Duplicate Values From Python Lists
  14. Extend A Python List To A Desired Length
  15. Shorten A Python List To A Specific Length
  16. Efficient Ways To Creating Sequences In Python
Python Dictionaries
  1. Manipulate Python Dictionaries
  2. Understanding Python Enumerate Dictionary
  3. Efficient Ways Removing Items From Python Dictionaries
  4. 5 Different Ways To Check For Duplicate Values In Python Dictionaries
  5. Check For A Specific Value In Python Dictionaries
  6. Get Values By Key In Python Nested Dictionary
  7. Modify Values By Key In Python Nested Dictionary
  8. 7 Different Ways To Duplicating A Dictionary In Python
  9. 5 Various Iteration Techniques In Python Dict
  10. 4 Different Methods For Dictionary Concatenation In Python
  11. 4 Different Ways Of Comparing Python Dicts
  12. Converting Various Data Types To Python Dictionaries
  13. Efficient Ways To Remove Duplicate Values From Python Dictionaries
  14. Extend A Python Dictionary To A Desired Length
  15. Shorten Python Dictionaries To A Specific Length
  16. Efficient Approaches To Remove An Item By Value In Python Dictionaries
Python Sets
  1. Manipulate Python Sets
File Handling
  1. Reading From And Writing To Files In Python
  2. Python File Modes And Handling Exceptions
Object Oriented Programming
  1. Python Classes And Objects
  2. Python Inheritance Encapsulation And Polymorphism
Python Advanced Data Structures
  1. Python Collection Module
  2. Advanced Python Data Manipulation Techniques
Error Handling And Debugging
  1. Python Exception Handling
  2. Python Debugging Techniques And Tools
Regular Expressions
  1. Python Regular Expressions In Text Processing
  2. Python Regular Expressions Pattern Matching
Concurrency And Parallelism
  1. Threading Vs Multiprocessing In Python
  2. How To Achieve Concurrency And Parallelism In Python
  3. Concurrent Programming With Asyncio
Working With Apis
  1. Making Http Requests In Python
  2. Parsing Json Xml Responses In Python
Build Apis With Python Requests
  1. Python Requests Crud Operations
  2. Retry In Python Requests
  3. Python Requests Timeout
Build Apis With Python Urllib3
  1. Disabling Hostname Verification In Python Example
Build Apis With Python Aiohttp
  1. Asynchronous Crud Operations In Python
  2. Retry In Python Aiohttp Async Requests
Database Interaction
  1. Connecting To Databases In Python
  2. Python Crud Operations And Orm Libraries
Python For Web Development
  1. Introduction To Python Web Frameworks
  2. Building Web Applications Using Flask
  3. Building Web Applications Using Django
  4. Building Web Applications Using Fastapi
Data Analysis And Visualization
  1. Introduction To Numpy Pandas And Matplotlib
  2. Analyzing Datasets And Visualizations In Python
Machine Learning With Python
  1. Machine Learning Concepts And Python
  2. Introduction To Scikit Learn And Tensorflow Keras
Python Typing Module
  1. Type Error Not Subscriptable While Using Typing
All Course > Python > Basic Syntax And Variables Oct 05, 2023

Python Basic Operations

This tutorial explores Python's basic operations which are the foundation of all Python programming. Whether you are starting your programming journey or looking to refresh your skills, this tutorial provides clear examples and practical tips to enhance your understanding of Python.

Table of Contents

Arithmetic Operations in Python

Arithmetic operations in Python are quite straightforward and are similar to those found in many other programming languages. Python supports basic arithmetic operations like addition, subtraction, multiplication, and division, as well as more advanced operations such as exponentiation and modulus.

Addition (+): Adds two numbers together.

result = 3 + 5
print(result)  # Output: 8

Subtraction (-): Subtracts the second number from the first.

result = 10 - 4
print(result)  # Output: 6

Multiplication (*): Multiplies two numbers.

result = 6 * 7
print(result)  # Output: 42

Division (/): Divides the first number by the second. The result is a float.

result = 20 / 4
print(result)  # Output: 5.0

Floor Division (//): Divides the first number by the second and rounds down to the nearest integer.

result = 20 // 3
print(result)  # Output: 6

Modulus (%): Returns the remainder of the division of the first number by the second.

result = 22 % 5
print(result)  # Output: 2

Exponentiation (**): Raises the first number to the power of the second number.

result = 3 ** 4
print(result)  # Output: 81

Unary Minus (-): Negates the value of the number.

result = -5
print(result)  # Output: -5

Unary Plus (+): Returns the value of the number (mostly used for readability).

result = +5
print(result)  # Output: 5

Combining Python Arithmetic Operations

Python allows you to combine multiple arithmetic operations in a single expression. When doing so, it follows the standard order of operations (PEMDAS/BODMAS rules).

  • Parentheses ()
  • Exponents **
  • Multiplication *, Division /, Floor Division //, and Modulus %
  • Addition + and Subtraction -
result = (3 + 5) * 2 ** 2 / 4 - 1
print(result)  # Output: 7.0

Using Arithmetic Operations in Variables

You can use variables to store values and perform arithmetic operations on them.

a = 10
b = 3
addition = a + b
subtraction = a - b
multiplication = a * b
division = a / b
floor_division = a // b
modulus = a % b
exponentiation = a ** b

print(addition)        # Output: 13
print(subtraction)     # Output: 7
print(multiplication)  # Output: 30
print(division)        # Output: 3.3333333333333335
print(floor_division)  # Output: 3
print(modulus)         # Output: 1
print(exponentiation)  # Output: 1000

Conclusion

Understanding the basics of arithmetic operations in Python gives you a solid foundation for more advanced programming. This articles explained you with the knowledge needed to tackle arithmetic challenges in Python.

FAQs

Q: What is Python best used for?
A: Python is versatile, ideal for web development, data analysis, artificial intelligence, and more.

Q: How do I start learning Python?
A: Start with the basics like the operations covered in this guide, and practice regularly.

Q: Can I use Python for web development?
A: Yes, Python frameworks like Django and Flask are designed for developing web applications.

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