The Modern Python 3 Bootcamp Course Syllabus

Full curriculum breakdown — modules, lessons, estimated time, and outcomes.

Overview: This comprehensive Python course is designed for beginners and aspiring developers looking to master Python 3 from the ground up. With over 15 hours of content, the course blends theory with hands-on projects, guiding you through Python fundamentals, data structures, OOP, advanced concepts, web development, testing, and real-world applications. Each module builds on the previous one, ensuring a solid understanding of core programming principles and practical skills. Lifetime access allows you to learn at your own pace and revisit materials anytime.

Module 1: Introduction to Python

Estimated time: 1 hour

  • Setting up the development environment
  • Understanding basic Python syntax
  • Writing your first Python program
  • Running and testing simple scripts

Module 2: Data Structures & Control Flow

Estimated time: 2 hours

  • Working with lists, dictionaries, sets, and tuples
  • Using if-else statements for decision making
  • Implementing for and while loops
  • Combining data structures with control flow

Module 3: Functions & Error Handling

Estimated time: 2 hours

  • Defining and calling functions
  • Using parameters and return values
  • Handling errors with try-except blocks
  • Writing clean and reusable function code

Module 4: Object-Oriented Programming (OOP)

Estimated time: 3 hours

  • Creating classes and objects
  • Understanding attributes and methods
  • Implementing inheritance and polymorphism
  • Applying OOP principles to real-world problems

Module 5: Advanced Python Concepts

Estimated time: 3 hours

  • Exploring decorators and their use cases
  • Working with generators and iterators
  • Understanding higher-order functions
  • Applying advanced concepts in practice

Module 6: Web Scraping & APIs

Estimated time: 2 hours

  • Building a web scraper using BeautifulSoup
  • Making HTTP requests to APIs
  • Handling and parsing JSON data

Module 7: Testing & Debugging

Estimated time: 2 hours

  • Applying test-driven development (TDD)
  • Writing unit tests for Python code
  • Using debugging techniques to troubleshoot errors

Module 8: File Handling & Projects

Estimated time: 2 hours

  • Reading from and writing to files
  • Organizing code across multiple files
  • Developing a complete project using learned skills

Prerequisites

  • No prior programming experience required
  • Basic computer literacy
  • Access to a computer with internet connection

What You'll Be Able to Do After

  • Write clean, efficient, and maintainable Python code
  • Use core data structures and control flow effectively
  • Design object-oriented programs using classes and inheritance
  • Build web scrapers and interact with APIs
  • Apply testing and debugging techniques to improve code quality
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