Introduction_to_Python_40_Slides programming

ey Characteristics:

Interpreted:
Python code is executed line by line by an interpreter, rather than being compiled into machine code before execution. This allows for rapid prototyping and testing.

High-Level:
Python abstracts away low-level details like memory management, allowing developers to focus on problem-solving.

1. Introduction to Python Python is a high-level, interpreted programming language. - Easy to learn - Open-source - Portable - Extensible

2. History of Python Created by Guido van Rossum in 1991. Named after 'Monty Python'. Widely used in AI, ML, Data Science, Web Development.

3. Features of Python 1. Simple and easy to learn 2. Interpreted language 3. Cross-platform support 4. Large standard library

4. Applications of Python Python is used in: - Web development - Data Science - Machine Learning - Scripting - Game development

5. Why Learn Python? Python is beginner-friendly, versatile, and has wide industry adoption.

6. Python Basics Python uses indentation instead of braces. Example: if x > 5: print('x is greater than 5')

7. Installing Python Download from python.org Choose latest stable version

8. Setting up Path (Windows) During installation, select 'Add Python to PATH' Verify with 'python --version'

9. Setting up Path (Linux/Mac) Use package managers like apt or brew. Verify installation in terminal.

10. Using Python IDEs Popular IDEs: - PyCharm - VS Code - Jupyter Notebook

11. Python Data Variables Variables store data values. Example: x = 10 y = 'Hello'

12. Rules for Variables 1. Must begin with letter or underscore 2. Cannot start with number 3. Case-sensitive

13. Types of Variables 1. int 2. float 3. str 4. bool 5. list, tuple, dict, set

14. Dynamic Typing Python allows dynamic typing. x = 5 (int) x = 'hello' (str)

15. Operators in Python Arithmetic, Relational, Logical, Assignment, Bitwise, Membership, Identity

16. Arithmetic Operators Example: a = 5 b = 2 print(a+b, a-b, a*b, a/b, a%b)

17. Comparison Operators ==, !=, >, <, >=, <=

18. Logical Operators and, or, not

19. Membership Operators in, not in Example: 'x' in 'python' → True

20. Identity Operators is, is not Check memory location

21. id() function Returns memory location of an object. Example: x = 10 print(id(x))

22. type() function Returns the type of a variable. Example: x = 10 print(type(x))

23. Coding Standards Follow PEP8 guidelines for readability.

24. PEP8 Guidelines Use 4 spaces for indentation, meaningful variable names, add comments.

25. Comments in Python Single line: # Multi-line: ''' '''

26. Best Practices Keep code modular, readable, and documented.

27. Input-Output Basics print() for output, input() for user input.

28. Printing on Screen Example: print('Python Programming')

29. String Formatting Use f-strings: name = 'Alex' print(f'Hello {name}')

30. Reading Data Example: num = input('Enter a number: ') print('You entered:', num)

31. Typecasting Input All input is string by default. Convert using int(), float().

32. Control Structures Types: - Conditional (if, elif, else) - Iterative (for, while) - Jump (break, continue, pass)

33. if Statement Example: x = 10 if x > 5: print('Greater than 5')

34. if-else Example: x = 3 if x % 2 == 0: print('Even') else: print('Odd')

35. elif Example: x = 0 if x > 0: print('Positive') elif x == 0: print('Zero') else: print('Negative')

36. Nested if Example: x = 10 if x > 0: if x % 2 == 0: print('Positive Even')

37. for loop Example: for i in range(5): print(i)

38. while loop Example: x = 0 while x < 5: print(x) x += 1

39. Break statement for i in range(10): if i == 5: break print(i)

40. Continue statement for i in range(5): if i == 2: continue print(i)

41. Pass statement for i in range(3): if i == 1: pass # Do nothing print(i)

42. Summary of Variables Variables are dynamically typed and flexible.

43. Summary of Operators Python supports multiple operators for different operations.

44. Summary of Input/Output Use print() and input() with typecasting when necessary.

45. Summary of Control Structures if-else, loops, and jump statements control program flow.

46. Conclusion Python is powerful, beginner-friendly, and widely used in various domains.