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Introduction to Python

Created by Admin in Python 4 Dec 2024
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Introduction to Python

Introduction to Python

What is Python? Python is a high-level, general-purpose, interpreted programming language created by Guido van Rossum in 1991. It is known for its simplicity, readability, and versatility.

Key Features of Python:

  • Interpreted: Python code is executed line by line, without requiring compilation.
  • Object-oriented: Python supports object-oriented programming, where data and methods are organized into objects.
  • Dynamically typed: Python doesn't require explicit type declarations for variables; types are assigned automatically.
  • Extensible: Python allows extending its functionality with modules and packages.
  • Cross-platform: Python code can run on multiple operating systems such as Windows, Mac, and Linux.

Getting Started with Python:

  1. Install Python: Visit the Python website (https://www.python.org/) and download the latest version.
  2. Open a Python Interpreter: In your terminal or command window, type python to open the Python interactive interpreter.
  3. Write Python Code: Enter Python code into the interpreter, and press Enter to execute it. For example:
print("Hello, world!")

Basic Syntax:

  • Indentation is significant in Python. Statements within blocks (e.g., functions, loops) must be indented using whitespace.
  • Variables in Python are not declared with a specific type. They can be assigned values using the assignment operator (=).
  • Comments start with a hash sign (#) and are used to add annotations or clarify code.

Examples:

# Calculate the area of a circle with radius 5
radius = 5
area = math.pi * radius ** 2
print(area)
# Loop over a list of numbers and print each one
numbers = [1, 2, 3, 4, 5]
for number in numbers:
print(number)

Advantages of Python:

  • Easy to learn and use
  • Versatile and can be used for various tasks
  • Strong community support and extensive libraries
  • Cross-platform and portable

Applications of Python:

  • Web development
  • Data science and machine learning
  • Scripting and automation
  • Game development
  • Artificial intelligence
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