Advanced Python Power Skills (OOP + APIs + Libraries)

About Course

Take your Python skills to the next level with this Advanced Python Power Skills module! This course is designed for learners who already know the basics and now want to become professional-grade Python developers. You will dive deep into advanced OOP concepts, build and consume APIs, master critical libraries for data manipulation, automation, and web interaction, and write cleaner, faster, and scalable code.
This module is the bridge between being a basic coder and a professional engineer.

Course Content

Advanced Object-Oriented Programming (Classes, Objects, Inheritance)

Class inheritance, multiple inheritance
Abstract classes, interfaces
Decorators, Mixins, Property decorators
SOLID Principles for clean coding

Introduction to Libraries (NumPy, Pandas basics)
This lesson introduces students to the two most essential Python libraries for data manipulation and numerical computing — NumPy and Pandas. Students will learn what these libraries are, why they are needed, and how to use them practically with hands-on examples.

APIs , Web Services & Integration using Python (requests module)

Web Scraping Basics (BeautifulSoup)
In this lesson, you’ll learn how to extract real-world data from websites using Python's BeautifulSoup library. You will understand the basics of HTML structure, how to fetch a web page, parse the content, and extract meaningful information like news headlines, product prices, or job listings. We’ll also build a mini project together!

Virtual Environment Management
In this lesson, students will learn how to create, manage, and use virtual environments in Python projects. It’s crucial for keeping projects clean, managing dependencies separately, and avoiding version conflicts. We will cover both venv (built-in) and pipenv (optional, advanced).

Python Debugging and Best Practices
In this lesson, students will learn how to debug Python programs effectively, identify and fix errors quickly, and write cleaner, maintainable code following professional best practices. This is essential for becoming a real-world Python developer!

File System and OS Module

Advanced Exception Handling

Working with JSON, XML, CSV API

Mini Project: Scrape COVID-19 data and create a simple dashboard

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About Course

What Will You Learn?

Course Content

Advanced Object-Oriented Programming (Classes, Objects, Inheritance)

Class inheritance, multiple inheritance

Abstract classes, interfaces

Decorators, Mixins, Property decorators

SOLID Principles for clean coding

Introduction to Libraries

Getting Started with NumPy

Mini Project 1

Getting Started with Pandas

DataFrame Operations

Mini Project 2

Conclusion and Summary

APIs , Web Services & Integration using Python (requests module)

What are APIs? REST concepts

Python Requests library for API consumption

Building a simple REST API using Flask or FastAPI

Introduction to Web Scraping

Understanding HTML Basics

Fetching Web Pages

Parsing HTML with BeautifulSoup

Extracting Data

Mini Project 1

Error Handling and Best Practices

Conclusion and Next Steps

Why Virtual Environments?

Creating a Virtual Environment

Activating/Deactivating venv

Installing Packages inside venv

Saving and Restoring Dependencie

Using Pipenv (Optional Advanced)

Common Mistakes and Debugging

Best Practices Recap

Python Debugging and Best Practices In this lesson, students will learn how to debug Python programs effectively, identify and fix errors quickly, and write cleaner, maintainable code following professional best practices. This is essential for becoming a real-world Python developer!

Types of Errors in Python

Print Debugging

Using pdb (Python Debugger)

Debugging in IDEs (VS Code Demo)

Common Debugging Strategies

PEP8 and Python Code Style

Using Linters

Organizing Code

Common Mistakes to Avoid

File System and OS Module

Directory structure handling

File automation (rename, delete, move files programmatically)

Advanced Exception Handling

Custom Exceptions

Logging module for debugging and auditing

Working with JSON, XML, CSV API

Parsing different API response formats

Automation scripts based on API results

Mini Project: Scrape COVID-19 data and create a simple dashboard

Student Ratings & Reviews

Support

Resources

Policies

Python Debugging and Best Practices
In this lesson, students will learn how to debug Python programs effectively, identify and fix errors quickly, and write cleaner, maintainable code following professional best practices. This is essential for becoming a real-world Python developer!