This Python programming course is designed to provide a comprehensive introduction to Python, focusing on both theoretical concepts and practical applications. The course is structured to guide students from basic programming concepts.

Module 1: Introduction to Python

• Lesson 1.1: What is Python?

  • Overview of Python
  • Python’s applications and industries
  • Advantages of Python over other languages
  • Installing Python and setting up the development environment (IDEs like VS Code, PyCharm, Jupyter Notebook)

• Lesson 1.2: Python Syntax and Structure

  • Python syntax basics (indentation and whitespace)
  • Writing the first Python program (“Hello, World!”)
  • Executing Python code (interactive mode vs script mode)

Module 2: Variables, Data Types, and Operators

• Lesson 2.1: Variables and Data Types

  • Variables in Python: definition, assignment, and rules
  • Basic data types: integers, floats, booleans, and strings
  • Type conversion (casting) between different data types
  • Working with constants in Python

• Lesson 2.2: Operators in Python

  • Arithmetic operators (+, -, *, /, //, %, **)
  • Comparison operators (==, !=, <, >, <=, >=)
  • Logical operators (and, or, not)
  • Bitwise operators (&, |, ^, <<, >>)
  • Membership operators (in, not in)
  • Identity operators (is, is not)

Module 3: Control Flow and Loops

• Lesson 3.1: Conditional Statements

  • The if, elif, and else statements
  • Nested conditions
  • The pass keyword and short-circuiting in logical operations

• Lesson 3.2: Looping Structures

  • for loop (iterating over sequences)
  • while loop (executing based on conditions)
  • Loop control: break, continue, and else in loops
  • Nested loops and iterating through lists, tuples, and dictionaries

Module 4: Functions

• Lesson 4.1: Introduction to Functions

  • Defining functions using the def keyword
  • Parameters and return values
  • Default, keyword, and variable-length arguments
  • Lambda functions (anonymous functions)

• Lesson 4.2: Scope and Lifetime of Variables

  • Local and global variables
  • The global keyword
  • Function scope, argument passing, and mutability

• Lesson 4.3: Recursion

  • Understanding recursion
  • Base case and recursive case
  • Recursive function examples (factorial, Fibonacci sequence)

Module 5: Data Structures

• Lesson 5.1: Lists

  • Defining and manipulating lists
  • List operations: append(), extend(), remove(), pop(), etc.
  • List slicing and indexing
  • Nested lists and list comprehensions

• Lesson 5.2: Tuples

  • Introduction to tuples (immutable sequences)
  • Accessing and manipulating tuples
  • Tuple packing and unpacking

• Lesson 5.3: Dictionaries

  • Defining and accessing dictionaries
  • Dictionary methods: get(), pop(), keys(), values(), etc.
  • Iterating over dictionary keys and values
  • Nested dictionaries

• Lesson 5.4: Sets

  • Defining and manipulating sets (unordered collections)
  • Set operations (union, intersection, difference, etc.)
  • Set methods: add(), remove(), discard(), clear()

Module 6: String Manipulation

• Lesson 6.1: String Basics

  • Creating and accessing strings
  • String concatenation and repetition
  • String indexing and slicing
  • Escape sequences and special characters

• Lesson 6.2: String Methods

  • Common string methods: lower(), upper(), split(), replace(), join(), etc.
  • String formatting techniques (f-strings, format(), % formatting)

• Lesson 6.3: Regular Expressions (Optional)

  • Introduction to regular expressions
  • Using the re module
  • Basic patterns and searching, matching, and replacing

Module 7: File I/O (Input/Output)

• Lesson 7.1: Reading Files

  • Opening and reading files using open()
  • Reading content using read(), readline(), and readlines()
  • Working with different file types (text, CSV)

• Lesson 7.2: Writing Files

  • Writing to files using write() and writelines()
  • Appending to files
  • The with statement for automatic file closing

• Lesson 7.3: File Handling Techniques

  • Checking if a file exists with os.path
  • File and directory operations using the os module
  • Working with CSV files using the csv module

Module 8: Error Handling and Exceptions

• Lesson 8.1: Introduction to Exceptions

  • What are exceptions?
  • Built-in exceptions in Python
  • Handling exceptions with try, except, else, and finally blocks

• Lesson 8.2: Raising Exceptions

  • The raise keyword and custom exceptions
  • Using assert statements for debugging

• Lesson 8.3: Exception Hierarchy

  • Exception class hierarchy and handling multiple exceptions
  • Creating custom exception classes