Beginner Level

1. Introduction to Python
   • Installation and Setup
     • Installing Python from the official website
     • Using package managers (pip, conda)
     • Setting up virtual environments (venv, virtualenv)
   • Running Python Programs
     • Using IDLE
     • Running scripts from the command line/terminal
     • Using Jupyter Notebooks
   • Basic Syntax and Comments
     • Writing and executing a simple program
     • Inline comments
     • Block comments
2. Basic Python Constructs
   • Variables and Data Types
     • Numbers: int, float, complex
     • Strings: single, double quotes, triple quotes
     • Booleans: True, False
     • Type conversion
   • Basic Operations
     • Arithmetic operations: +, -, *, /, //, %, **
     • Comparison operations: ==, !=, >, <, >=, <=
     • Logical operations: and, or, not
   • String Manipulation
     • String concatenation and repetition
     • String formatting: f-strings, format(), % operator
     • String methods: split, join, replace, upper, lower, strip
   • Input and Output
     • Using input() for user input
     • Using print() for output
     • String interpolation
3. Control Structures
   • Conditional Statements
     • if statements
     • else statements
     • elif statements
   • Loops
     • for loops
     • while loops
     • Nested loops
   • Loop Control Statements
     • break statement
     • continue statement
     • pass statement
4. Data Structures
   • Lists
     • Creating lists
     • Accessing list elements
     • List slicing
     • List methods: append, remove, pop, sort, reverse
   • Tuples
     • Creating tuples
     • Accessing tuple elements
     • Tuple operations
   • Sets
     • Creating sets
     • Set operations: union, intersection, difference, symmetric difference
     • Set methods: add, remove, discard, clear
   • Dictionaries
     • Creating dictionaries
     • Accessing dictionary elements
     • Dictionary methods: get, keys, values, items, update
5. Functions and Modules
   • Defining Functions
     • Function syntax
     • Docstrings
   • Function Arguments and Return Values
     • Positional arguments
     • Keyword arguments
     • Default arguments
     • Returning multiple values
   • Lambda Functions
     • Syntax and use cases
   • Importing and Using Modules
     • Standard library modules (e.g., math, random)
     • Third-party modules (e.g., numpy, pandas)
   • Creating and Using Custom Modules
     • Writing custom modules
     • Importing custom modules

Intermediate Level

1. File Handling
   • Reading and Writing Files
     • Using open(), read(), write(), close()
     • File modes: r, w, a, rb, wb
   • Working with CSV, JSON Files
   • File Operations
2. Exception Handling
3. Object-Oriented Programming (OOP)
4. Iterators and Generators
5. Decorators and Context Managers

Advanced Level

1. Advanced Data Structures
2. Advanced OOP Concepts
3. Concurrency
4. Networking and Web Development
5. Data Science and Machine Learning
6. APIs and Web Services
7. Testing and Debugging