Python programming basic Presentation.pptx

Python programming basic Presentation.pptx

• 1.
  Introduction to Python ABeginner's Guide Presented by: [Your Name] College Name: [Your College]
• 2.
  What is Python? •- Python is a high-level programming language. • - Created by Guido van Rossum in 1991. • - It is easy to read and write, similar to English. • - Used in web development, data science, AI, automation, etc.
• 3.
  Why Learn Python? •- Simple & Easy to Learn • - Free & Open Source • - Works on Windows, Mac, and Linux • - Huge Community Support • - Used in multiple fields (Web, AI, Data Science, etc.)
• 4.
  Features of Python •- Interpreted (Executes line by line) • - Dynamically Typed (No need to declare types) • - Cross-Platform (Runs on multiple OS) • - Object-Oriented Programming (OOP) support
• 5.
  Writing Your FirstPython Code • print("Hello, World!") • - `print()` is used to display output.
• 6.
  Variables and DataTypes • - Variables store values and Python decides their type automatically. • Example: • name = 'Kai' # String • age = 20 # Integer • height = 5.9 # Float • is_student = True # Boolean
• 7.
  Operators in Python •- Arithmetic Operators: +, -, *, /, %, ** • - Comparison Operators: >, <, ==, != • - Logical Operators: and, or, not • - Assignment Operators: =, +=, -=, *=, /= • - Identity & Membership Operators: is, in
• 8.
  Conditional Statements (If-Else) •- Used to make decisions in Python. • Example: • marks = 85 • if marks >= 50: • print('You Passed!') • else: • print('You Failed!')
• 9.
  Loops in Python •- `for` loop: Used for fixed repetitions • - `while` loop: Repeats until condition is False • Example: • for i in range(5): • print(i)
• 10.
  Lists in Python •- Lists are used to store multiple values. • Example: • fruits = ['Apple', 'Banana', 'Cherry'] • print(fruits[0]) # Apple • print(len(fruits)) # 3
• 11.
  Functions in Python •- Functions allow code reuse. • Example: • def greet(name): • return 'Hello, ' + name • print(greet('Kai'))
• 12.
  Python Applications • -Web Development (Django, Flask) • - Data Science (Pandas, NumPy) • - Machine Learning (TensorFlow, PyTorch) • - Automation & Scripting • - Game Development
• 13.
  Conclusion • - Pythonis easy to learn and powerful. • - Used in various fields like Web, AI, and Data Science. • - Keep practicing to master Python!
• 14.
  Thank You! • AnyQuestions?