Introduction to Python
• Python is a high-level, interpreted language.
• Created by Guido van Rossum in 1991.
• Known for simplicity and readability.
Python Features
• • Easy to learn and use
• • Interpreted and dynamically typed
• • Large standard library
• • Community support
• • Portable across platforms
Python Use Cases
• • Web Development
• • Data Science
• • Automation and Scripting
• • Artificial Intelligence
• • Game Development
Python Installation
• 1. Visit https://www.python.org
• 2. Download installer for your OS
• 3. Install using default settings
• 4. Verify: python --version
Python Syntax Basics
• • Indentation is crucial
• • Variables are dynamically typed
• • Use # for comments
• • Print: print("Hello")
Data Types in Python
• • Numeric: int, float, complex
• • Text: str
• • Boolean: True, False
• • Collections: list, tuple, dict, set
Control Flow
• • Conditional: if, elif, else
• • Loops: for, while
• • Break, continue, pass
Functions in Python
• • Defined using def keyword
• • Can return values
• • Support default and keyword arguments
Modules and Libraries
• • Use import to include modules
• • Built-in: math, random
• • External: numpy, pandas, matplotlib
Python Ecosystem Diagram
• Diagram: Python Core, Libraries, Frameworks, Tools
Python
Core
Libraries
Framework
s

Python_Full_Explanation_PPT.pptx Ginn Ruby

  • 1.
    Introduction to Python •Python is a high-level, interpreted language. • Created by Guido van Rossum in 1991. • Known for simplicity and readability.
  • 2.
    Python Features • •Easy to learn and use • • Interpreted and dynamically typed • • Large standard library • • Community support • • Portable across platforms
  • 3.
    Python Use Cases •• Web Development • • Data Science • • Automation and Scripting • • Artificial Intelligence • • Game Development
  • 4.
    Python Installation • 1.Visit https://www.python.org • 2. Download installer for your OS • 3. Install using default settings • 4. Verify: python --version
  • 5.
    Python Syntax Basics •• Indentation is crucial • • Variables are dynamically typed • • Use # for comments • • Print: print("Hello")
  • 6.
    Data Types inPython • • Numeric: int, float, complex • • Text: str • • Boolean: True, False • • Collections: list, tuple, dict, set
  • 7.
    Control Flow • •Conditional: if, elif, else • • Loops: for, while • • Break, continue, pass
  • 8.
    Functions in Python •• Defined using def keyword • • Can return values • • Support default and keyword arguments
  • 9.
    Modules and Libraries •• Use import to include modules • • Built-in: math, random • • External: numpy, pandas, matplotlib
  • 10.
    Python Ecosystem Diagram •Diagram: Python Core, Libraries, Frameworks, Tools Python Core Libraries Framework s