Python_Programming_Filled_PPT.pptx PYTHON

Python_Programming_Filled_PPT.pptx PYTHON

1. Python Programming Language An Introduction to Python – Simple, Powerful, and Popular. Used worldwide for Web Development, Data Science, Artificial Intelligence, Automation, and more.

2. History of Python • Created by Guido van Rossum in 1991. • Named after the British comedy group 'Monty Python'. • Open-source and community-driven. • Python 2 vs Python 3 – Python 3 is the present and future.

3. Features of Python • Easy to learn and use with simple syntax. • Interpreted and dynamically typed. • Object-oriented and functional programming support. • Huge standard library. • Cross-platform and portable.

4. Why Learn Python? • Most popular programming language globally. • High demand in IT industry. • Used in AI, ML, Web Apps, Data Analytics. • Strong online community and support. • Ideal for both beginners and experts.

5. Python Applications • Web Development: Django, Flask. • Data Science: Pandas, NumPy. • Machine Learning: TensorFlow, Scikit-learn. • Automation: Scripts, Bots. • Cybersecurity, Game Development, IoT.

6. Installing Python • Download from python.org. • Works on Windows, Mac, Linux. • Install IDEs like PyCharm, VS Code, Jupyter Notebook. • Verify installation: python --version.

7. First Program: Hello World print('Hello, World!') Explanation: • print() is a built-in function. • Displays output on screen. • First step to start coding in Python.

8. Python Syntax Basics • Indentation is mandatory (no braces). • Case-sensitive language. • Variables don’t need explicit declaration. • Comments use # symbol. • Example: for i in range(3): print(i)

9. Data Types in Python • Numeric: int, float, complex. • String: 'Hello'. • List: [1,2,3]. • Tuple: (1,2,3). • Dictionary: {'a':1,'b':2}. • Set: {1,2,3}. • Boolean: True/False.

10. Variables & Constants • Python variables don’t need type declaration. • Example: x=10, name='Ayush'. • Constants are written in UPPERCASE by convention. • Example: PI = 3.14.

11. Operators in Python • Arithmetic: +, -, *, /, %. • Comparison: ==, !=, >, <. • Logical: and, or, not. • Assignment: =, +=, -=. • Bitwise and Identity operators.

12. Conditional Statements if, elif, else. Example: x=5 if x>0: print('Positive') elif x==0: print('Zero') else: print('Negative')

13. Loops in Python • For loop – for i in range(5). • While loop – while x < 10. • Break and continue statements. • Example: for i in range(1,6): print(i)

14. Functions in Python • Defined using def keyword. • Supports arguments and return values. • Example: def add(a,b): return a+b print(add(5,3))

15. Modules & Packages • Built-in modules: math, os, datetime. • External libraries via pip install. • Example: import math print(math.sqrt(16))

16. Exception Handling • Handles runtime errors gracefully. • try-except-finally block. • Example: try: print(10/0) except ZeroDivisionError: print('Cannot divide by zero')

17. File Handling in Python • Open, Read, Write files. • Example: f=open('data.txt','w') f.write('Hello') f.close() Modes: r, w, a, rb, wb.

18. Object-Oriented Programming • Class & Object. • Concepts: Inheritance, Polymorphism, Encapsulation, Abstraction. • Example: class Car: def __init__(self,brand): self.brand=brand c=Car('BMW')

19. Popular Python Libraries • NumPy & Pandas – Data Analysis. • Matplotlib & Seaborn – Data Visualization. • Django & Flask – Web Development. • TensorFlow & PyTorch – AI/ML. • OpenCV – Computer Vision.

20. Conclusion • Python is versatile and beginner-friendly. • Backbone of Data Science, AI, and Web Apps. • Large supportive community. • Great career opportunities. 👉 Keep Practicing Python Daily!