Friday, 10 October 2025

Python Tutorial : Introduction

    Python is very popular programming languages . Python Created by Guido van Rossum and first released in 1991. Python is simple, readable, and powerful .It is an open-source, high-level language .Python’s syntax is clean and very easy to understand, it is suitable for beginners as well as working professionals .

Python Supports:
  • Web development
  • Data science
  • Artificial Intelligence
  • Machine Learning
  • Automation
Why to Learn Python

1) Python’s syntax is simple ,  it is beginner-friendly and easy to understand .Easy to understand in compare with other languages like C++ or Java.

2) No compilation require compilation. The interpreter reads and executes , make it more faster, rather fastest language.

3) Python runs on Windows, macOS, Linux, and mobile OS , almost all platform , i.e Python is cross platform language.

4) Python is free to use and opensource, no license charge is required. it comes under governed under an open-source license.

5) Python have huge in-built library for file handling, regular expressions, database connectivity, web services, mathematics etc.

6) Python supports Object-Oriented Programming (OOP) , i.e classes, inheritance, encapsulation, and polymorphism etc.

7) Python is High-Level Language ,no need to handle memory management or pointer programming.

8) Python code can be 'embedded' into other languages (like C or C++) and other languages (like C or C++) can be embedded in Python.

9) Python’s community support is large , external libraries 
  • NumPy and Pandas for data science
  • TensorFlow and PyTorch for AI and ML
  • Matplotlib for data visualization
10) Python in-built 'garbage collector' handles memory allocation and deallocation.

Major Applications of Python

Web Development :
Django , Flask , FastAPI framework for used for API to create dynamic website.

Instagram, Pinterest, and YouTube use Python for their backend service of these frame work to make their website
dynamic.

Artificial Intelligence (AI) and Machine Learning (ML)

Python is the most popular language for Artificial Intelligence and Machine Learning.libraries like  TensorFlow Keras, Scikit-learn, PyTorch works to handle AI,ML application.

Applications :
  1. Image and speech recognition
  2. Chatbots 
  3. virtual assistants
  4. Visual Matching

Desktop GUI Applications
Python’s Tkinter, PyQt, and Kivy libraries create desktop applications.

Examples:
  • Media players
  • File managers
  • Custom software tools
Game Development
Python frameworks Pygame and Panda3D is used for 2D and 3D game development.
Popular games like 'Eve Online' and 'Battlefield 2' have used Python in major.

Mobile App Development
Kivy ,BeeWare are used for cross-platform mobile app development.


Cybersecurity and Ethical Hacking

Python is used in cybersecurity for
  • Network scanning 
  • Malware analysis
  • Packet sniffing
Data Science and Data Analytics

libraries like NumPy , Pandas , Matplotlib , Seaborn , Jupyter Notebook is used in  Data Science and Data Analytics.

Example :
  1. Market analysis
  2. Business intelligence
  3. Scientific data visualization

Some Well Known Python Applications
  1. Google Search Engine
  2. Instagram Backend
  3. YouTube Recommendations
  4. NASA Software Systems
  5. Financial Forecasting Models

First Python Program
1) Open a text editor ,write 

print("Hello, World!")

and Save it as hello.py

2)Run the Program

python hello.py

output is
Hello, World!

If you do not have python installed at your computer
For Windows download from : https://www.python.org/downloads/windows/
and install.

if you are using Linux , run the following program in the terminal
sudo apt update
sudo apt install python3

After installation , you can check version as
python --version




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Python Tutorial : Introduction

     Python is very popular programming languages . Python Created by Guido van Rossum and first released in 1991. Python is simple, readabl...