Python Tutorial

Introduction Python Features Python Applications Python System requirements Python Installation Python Examples Python Basics Python Indentation Python Variables Python Data Types Python IDE Python Keywords Python Operators Python Comments Python Pass Statement

Python Conditional Statements

Python if Statement Python elif Statement Python If-else statement Python Switch Case

Python Loops

Python for loop Python while loop Python Break Statement Python Continue Statement Python Goto Statement

Python Arrays

Python Array Python Matrix

Python Strings

Python Strings Python Regex

Python Built-in Data Structure

Python Lists Python Tuples Python Lists vs Tuples Python Dictionary Python Sets

Python Functions

Python Function Python min() function Python max() function Python User-define Functions Python Built-in Functions Python Recursion Anonymous/Lambda Function in Python apply() function in python Python lambda() Function

Python File Handling

Python File Handling Python Read CSV Python Write CSV Python Read Excel Python Write Excel Python Read Text File Python Write Text File Read JSON File in Python

Python Exception Handling

Python Exception Handling Python Errors and exceptions Python Assert

Python OOPs Concept

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Python Iterators

Iterators in Python Yield Statement In Python Python Yield vs Return

Python Generators

Python Generator

Python Decorators

Python Decorator

Python Functions and Methods

Python Built-in Functions Python String Methods Python List Methods Python Dictionary Methods Python Tuple Methods Python Set Methods

Python Modules

Python Modules Python Datetime Module Python Math Module Python Import Module Python Time ModulePython Random Module Python Calendar Module CSV Module in Python Python Subprocess Module

Python MySQL

Python MySQL Python MySQL Client Update Operation Delete Operation Database Connection Creating new Database using Python MySQL Creating Tables Performing Transactions

Python MongoDB

Python MongoDB

Python SQLite

Python SQLite

Python Data Structure Implementation

Python Stack Python Queue Python Linked List Python Hash Table Python Graph

Python Advance Topics

Speech Recognition in Python Face Recognition in Python Python Linear regression Python Rest API Python Command Line Arguments Python JSON Python Subprocess Python Virtual Environment Type Casting in Python Python Collections Python Attributes Python Commands Python Data Visualization Python Debugger Python DefaultDict Python Enumerate

Python 2

What is Python 2

Python 3

Anaconda in Python 3 Anaconda python 3 installation for windows 10 List Comprehension in Python3

How to

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Python Sort List Sort Dictionary in Python Python sort() function Python Bubble Sort


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Python Uses

Python has advanced in recent years to rank among the programming languages that are most often used globally. It is utilized in everything, including machine learning, software testing, and website building. It can be used by developers and non-developers alike.

Python, one of the most popular programming languages in the world, was used to create the software that powers self-driving cars and Netflix's recommendation engine. Python can be used for a wide range of tasks because it is a general-purpose language, including data research, software and web development, automation, and more.


Python is a well-known programming language for computers that is used to build websites and applications, automate procedures, and analyse data. Because Python is a general-purpose language, it may be used to create a wide range of applications and isn't focused on any particular problems. It has risen to the top of the list of programming languages now in use thanks to its adaptability and beginner-friendliness. According to a study by the market research company RedMonk, it was the second-most popular programming language among developers in 2021.

Python Used for?

Python is often used to build applications and websites, automate time-consuming operations, and analyse and display data. Since Python is fairly easy to learn, many non-programmers, such as accountants and scientists, have utilised it for a range of routine tasks, including managing funds.

Charles R. Severance, a lecturer at Coursera and professor at the University of Michigan, says that "developing programmes is a highly creative and fulfilling endeavour." You can create programmes for a variety of reasons, including making money, taking on a difficult data analysis job for fun, or helping someone else solve a problem.

  • Data analysis and machine learning
  • Web development
  • Automation or scripting
  • Software testing and prototyping
  • Everyday tasks

Data Analysis and Machine Learning

Data analysts and other specialists can use Python to execute complex statistical calculations, create machine learning algorithms, handle and analyse data, among other tasks now that it has become a standard in the field of data science.

A wide range of data visualizations, including line and bar graphs, pie charts, histograms, and three-dimensional plots, can be made using Python. Additionally, Python offers a number of libraries like TensorFlow and Keras that aid programmers in more quickly and efficiently developing data analysis and machine learning applications.

Web Development

The parts of a website or program that visitors don't see—the back end—are typically made with Python. Python can be used in web development for sending data to and from servers, processing data and communicating with databases, routing URLs, and ensuring security. A variety of web development frameworks are available for Python. Django and Flask are a couple of the more well-liked ones.

Some of the web development roles that employ Python include backend engineers, full stack engineers, Python developers, software engineers, and Ops engineers.

Automation or Scripting

Python can be used to automate routine processes so you can work more efficiently. The technique of writing computer code for these automated processes is known as scripting. Automation can be used in the field of coding to carry out basic math operations, convert files, check for errors across numerous files, and remove duplicate data.

Python may be used by even beginners to automate simple computer tasks like renaming files, finding and downloading internet content, or sending emails or SMS on a regular basis.

Software Testing and Prototyping

Python can help with activities like build control, issue tracking, and testing in software development. Software engineers can automate testing for new features or products using Python. The Python software testing tools Green and Requestium are two examples.

Everyday Tasks

Python is not just used by programmers and data scientists. Learning Python can increase employment opportunities for people who work in less data-intensive industries like journalism, small business ownership, or social media marketing. Python can also make some of a non-daily programmer's tasks easier. Here are a few examples of tasks you could automate with Python:

  • Keep track of stock market or crypto prices
  • Send yourself a text reminder to carry an umbrella anytime it’s raining
  • Update your grocery shopping list
  • Renaming large batches of files
  • Converting text files to spreadsheets
  • Randomly assign chores to family members
  • Fill out online forms automatically


Python is a popular among both beginners and experienced programmers due to its many benefits. Its (relative) simplicity is one of its greatest benefits. Python employs straightforward line breaks rather than symbols to define code blocks, making it easier to learn and comprehend than some other languages.

Python's built-in classes, methods, and wide range of libraries make developing code faster and simpler, contributing to its ability to speed up development. Additionally, since interpreted languages don't require a compilation step in between, you can run and test your code immediately after writing it.

Python's adaptability is another benefit it has over other languages. Python is a portable, cross-platform language, which allows you to create and run Python code using a Python interpreter on any operating system.