"Python Mastery: Beginner to Intermediate"

 

"Python Mastery: Intermediate to Advanced"

1. Introduction to Python

• What is Python? Features & Applications
• Installing Python & Using IDEs (IDLE, VS Code, Jupyter)
• First Python program (print("Hello World"))
• Understanding syntax, indentation, and comments

2. Basics of Python

• Variables and Data Types (int, float, string, bool)
• Type casting and type() function
• Input and Output (input(), print())
• Basic Operators (Arithmetic, Relational, Logical, Assignment)

3. Strings and Numbers

• String creation, indexing, slicing
• Common string methods (upper(), lower(), replace(), etc.)
• f-strings and string formatting
• Math functions (round, abs, pow, math module basics)

4. Control Flow

• Conditional statements (if, elif, else)
• Loops (for, while)
• Loop control (break, continue, pass)

5. Data Structures 

• Lists: creation, indexing, slicing, common methods (append, remove, sort)
• Tuples: immutability, indexing
• Sets: uniqueness, operations (union, intersection)
• Dictionaries: key-value pairs, common methods (get, keys, values)

6. Functions

• Defining and calling functions
• Parameters & return values
• Default & keyword arguments
• *args and **kwargs
• Lambda functions

7. Data Structures (Part 2)

• List comprehensions
• Nested data structures (list of dicts, dict of lists, etc.)
• Dictionary comprehensions

8. File Handling

• Reading & writing text files (open, read, write)
• File modes (r, w, a)
• Using with open (context manager)

9. Error Handling

• Exceptions: try, except, finally
• Handling multiple exceptions
• Raising exceptions

10. Modules and Packages

• Importing modules (math, random, datetime, os)
• Creating your own module
• Using pip and installing external libraries

11. Object-Oriented Programming (OOP)

• Classes and Objects
• Attributes and Methods
• __init__ constructor
• Inheritance and Polymorphism
• Encapsulation

12. Useful Python Libraries

• collections (Counter, defaultdict)
• itertools (permutations, combinations)
• json for working with JSON
• Introduction to pandas & numpy (basic usage)

Project Practice (Beginner → Intermediate)

Beginner Projects:

• Calculator
• To-do list (console-based)
• Guess the Number game

Intermediate Projects:

• File organizer script (organize files by type)
• Contact book with file storage
• Basic data analysis using Pandas