Syllabus

Course Modules

Module 1 — Introduction to Python

• Course Overview
• Learning Objectives
• Target Audience
• Expected Learning Outcomes

Module 2 — Setting Up the Python Environment

• VS Code as a Python IDE
• Python Version Selection
• Conda Environments
• Environment Activation
• Jupyter Notebooks in VS Code
• Installing Required Packages

Module 3 — Python Virtual Environments

• python -m venv
• virtualenv
• Conda Environments
• Package and Dependency Management

Module 4 — Python Syntax and Semantics

• Comments
• Syntax vs. Semantics
• Basic Syntax Rules
• Case Sensitivity
• Indentation
• Line Continuation
• Multiple Statements
• Variables and Type Inference
• Common Syntax and Indentation Errors

Module 5 — Variables in Python

• Variables and Assignment
• Naming Conventions
• Variable Types
• Dynamic Typing
• Type Checking
• Type Conversion
• User Input
• Type Casting
• Practical Calculator Example

Module 6 — Python Data Types

• Integers
• Floating-Point Numbers
• Strings
• Booleans
• Type Conversion
• Type Errors
• Introduction to Advanced Data Types

Module 7 — Python Operators

• Arithmetic Operators
• Comparison Operators
• Logical Operators
• Practical Applications

Module 8 — Conditional Statements

• if
• else
• elif
• Nested Conditional Statements
• Common Errors and Best Practices
• Practical Programming Exercises

Module 9 — Python Loops

• Introduction to Loops
• for Loop
• range()
• Iterating over Strings
• while Loop
• break
• continue
• pass
• Nested Loops
• Practical Loop-Based Problems

Module 10 — Python Lists

• Creating and Accessing Lists
• Modifying List Elements
• List Methods
• List Slicing
• Iteration
• List Comprehensions
• Nested Lists
• Advanced List Comprehensions

Module 11 — Python Tuples

• Creating Tuples
• Accessing Tuple Elements
• Tuple Operations
• Immutability
• Tuple Methods
• Packing and Unpacking
• Nested Tuples

Module 12 — Python Dictionaries

• Creating Dictionaries
• Accessing and Modifying Elements
• Dictionary Methods
• Iteration
• Nested Dictionaries
• Dictionary Comprehensions
• Practical Dictionary Applications

Module 13 — Real-World Applications with Lists

• To-Do List Management
• Student Grade Management
• Inventory Management
• User Feedback Collection

Module 14 — Python Functions

• Defining and Calling Functions
• Function Parameters
• Multiple Parameters
• Default Parameters
• Variable-Length Arguments
• *args
• **kwargs
• Return Values

Module 15 — Practical Function Applications

• Temperature Conversion
• Password Strength Checker
• Shopping Cart
• Palindrome Checker
• Recursion
• File-Based Word Frequency
• Email Validation with Regular Expressions

Module 16 — Lambda Functions

• Lambda Function Syntax
• Basic Lambda Functions
• Multiple Parameters
• Lambda with map()

Module 17 — The map() Function

• Basic map()
• map() with Lambda
• Multiple Iterables
• Built-in Functions with map()
• Type Conversion
• String Manipulation
• Mapping over Dictionaries

Module 18 — The filter() Function

• Basic Filtering
• filter() with Lambda
• Multiple Conditions
• Filtering Dictionaries

Module 19 — Modules and Packages

• Importing Built-in Modules
• Third-Party Packages
• Creating Custom Modules
• Creating Packages
• Sub-packages

Module 20 — Python Standard Library

• array
• math
• random
• os
• shutil
• json
• csv
• datetime
• time
• re / Regular Expressions

Module 21 — File Operations

• Reading Files
• Reading Entire Files
• Reading Line by Line
• Writing Files
• Overwriting and Appending
• Writing Multiple Lines
• Binary Files
• File Cursor
• Practical File-Based Assignments

Module 22 — Directories and File Paths

• Creating Directories
• Listing Files and Directories
• Joining Paths
• Checking Path Existence
• File vs. Directory
• Relative and Absolute Paths

Module 23 — Exception Handling

• Exceptions
• try-except
• Exception Objects
• Multiple Exceptions
• else
• finally
• Practical File-Handling Examples

Module 24 — Object-Oriented Programming

• Introduction to OOP
• Classes and Objects
• Attributes and Methods
• Instance Variables
• __init__
• Instance Methods
• Practical OOP Examples

Module 25 — Inheritance

• Single Inheritance
• Parent and Child Classes
• Multiple Inheritance
• Derived Classes

Module 26 — Polymorphism

• Method Overriding
• Polymorphism with Functions
• Abstract Base Classes
• Practical Examples

Module 27 — Encapsulation

• Access Modifiers
• Public Variables
• Private Variables
• Protected Variables
• Getter and Setter Methods

Module 28 — Abstraction

• Real-World Abstraction
• Abstract Classes
• Abstract Methods
• Implementation in Child Classes

Module 29 — Magic Methods

• Introduction to Magic Methods
• Special Methods
• __str__
• __repr__

Module 30 — Operator Overloading

• Operator Overloading Concepts
• Custom Operators
• Vector Class Example

Module 31 — Web Application Development with Streamlit

• Introduction to Streamlit
• Installation
• Basic App Development
• Interactive Widgets
• Text Input
• Slider
• Select Box
• File Uploader

Module 32 — Machine Learning Web Application with Streamlit

• Project Setup
• Installing Dependencies
• Importing Libraries
• Dataset Loading and Caching
• Random Forest Model Training
• Interactive Input Controls
• Making Predictions
• Running the Application