Ultimate Guide to Python for Beginners in 2023

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Module 1 – Environment Setup

Lecture 1: Installing VS Code and Git

Lecture 2: Installing Miniconda

Lecture 3: Installing Jupyter Notebook and Jupyter Lab

Lecture 4: Github Repo

Chapter 3: Module 2 – Python Basics

Lecture 1: Introduction to Variables

Lecture 2: Variable Declaration, Introduction to Types, Naming Conventions

Lecture 3: Data Types – Strings

Lecture 4: Data Types – Integers

Lecture 5: Data Types – Floats

Lecture 6: Data Types – Booleans

Lecture 7: Arithmetic Operators

Lecture 8: Comparison Operators

Lecture 9: Logical Operators

Lecture 10: Basic Output

Lecture 11: Formatting Output

Lecture 12: Taking User Input

Lecture 13: Mini Projects

Chapter 4: Module 3 – Control Structures

Lecture 1: Introduction to Conditional Statements

Lecture 2: if, elif, and else Statements

Lecture 3: Combining Conditional Statements

Lecture 4: Introduction to Loops

Lecture 5: For Loop

Lecture 6: While Loop

Lecture 7: Infinite Loops

Lecture 8: Break Statement

Lecture 9: Continue Statement

Lecture 10: Pass Statement

Lecture 11: Introduction to Nested Structures

Lecture 12: Combining For and While Loops

Lecture 13: Combining Loops and Conditionals

Lecture 14: Pitfalls and Best Practices

Chapter 5: Module 4 – Data Structures

Lecture 1: Introduction to Lists

Lecture 2: Common List Operations

Lecture 3: Lists as Stacks and Queues

Lecture 4: Introduction to Tuples

Lecture 5: Tuple Operations

Lecture 6: When and Why to use Tuples

Lecture 7: Tuple Methods

Lecture 8: Introduction to Sets

Lecture 9: Set Operations

Lecture 10: Set Methods

Lecture 11: Practical Use Cases of Sets

Lecture 12: Introduction to Dictionaries

Lecture 13: Accessing Dictionary Elements

Lecture 14: Dictionary Methods

Lecture 15: Practical Use Cases for Dictionaries

Chapter 6: Module 5 – Functions and Modules

Lecture 1: Introduction to Functions

Lecture 2: Basic Syntax of Functions

Lecture 3: Arguments and Parameters

Lecture 4: Return Values

Lecture 5: Understanding Scope

Lecture 6: Local and Global Variables

Lecture 7: Best Practices for Scope

Lecture 8: Introduction to Lambda Functions

Lecture 9: Syntax and Usage of Lambda Functions

Lecture 10: Common use Cases for Lambda

Lecture 11: What are Modules?

Lecture 12: Importing Modules

Lecture 13: Common Libraries in Python

Lecture 14: Installing External Libraries

Chapter 7: Module 6 – File and Exception Handling

Lecture 1: Introduction to File Handling

Lecture 2: Reading Files

Lecture 3: Creating New Files

Lecture 4: Introduction to Writing Files

Lecture 5: Introduction to Exceptions

Lecture 6: Basic Exception Handling

Lecture 7: Multiple Exception Blocks

Lecture 8: Custom Exceptions

Lecture 9: Exceptions as Objects

Chapter 8: Module 7 – Introduction to Object-Oriented Programming

Lecture 1: Introduction to Object-Oriented Programming

Lecture 2: Real-World Analogies

Lecture 3: Using Objects

Lecture 4: Introduction to Instance and Class Variables and Methods

Lecture 5: Class Variables and Methods

Lecture 6: Instance Variables and Methods

Lecture 7: Instance and Class Variables and Methods (extended)

Lecture 8: Advanced 'init' use Cases

Lecture 9: Base and Derived Classes

Lecture 10: Introduction to Inheritance

Lecture 11: Private Attributes and Methods

Lecture 12: Getters and Setters

Lecture 13: Method Overloading

Lecture 14: Polymorphism

Chapter 9: Capstone Projects

Lecture 1: Calculator – Overview and Design

Lecture 2: Calculator – Build

Lecture 3: Contact Book – Overview and Design

Lecture 4: Contact Book – Build

Lecture 5: Banking System – Overview and Design

Lecture 6: Banking System – Build