Python Coding Intermediate: Python Classes, Methods and OOPs
Learn Python Object Oriented Programming step-by-step guide to classes, Inheritance and Error Handling : Code Reusing
4.72 (173 reviews)

6 808
students
6 hours
content
Nov 2024
last update
$13.99
regular price
What you will learn
Master Principles And Understanding Of Object Oriented Programming In Python
You Will Learn How To Reuse Code For New Projects Implimentations
Learn About 4 Pillars Of Object Oriented Programming!
You Will Learn Each Important Topic - Classes, Object, Inheritance, Abstraction And More With Real-world Examples
Learn To Write Clean And Proper Python Code With OOPs Concept.
Apply How To Handle Error And Exceptions on Run Time With Python
Learn to Apply Modules and Packages Library
Working with Files like .csv File Import Using Pandas Module for Data Science
Participate on Coding Exercises to test your real time learning skills
Loading charts...
Comidoc Review
Our Verdict
Python Coding Intermediate: Python Classes, Methods and OOPs offers a comprehensive exploration of Object-Oriented Programming in Python. Inevitable minor hiccups with accents and pacing aside, it provides engaging real-world examples, challenging coding exercises, and solidifies foundational knowledge in applying OOP principles for effective code reusability and increased efficiency in developing new projects.
What We Liked
- The course excels in explaining complex Object-Oriented Programming (OOP) principles through simple terms, real-life examples, and a strong emphasis on classes and methods.
- Applying OOP concepts, such as abstraction, inheritance, error handling, and modules, allows learners to write cleaner, more effective Python code, and build robust systems.
- The course integrates practical exercises that test learners' understanding and help them solidify their skills in applying OOP and Python libraries like Pandas.
- Learners appreciate the structured combination of teaching ideas and hands-on coding tasks, as well as the engaging real-world examples throughout the course.
Potential Drawbacks
- Some learners find certain explanations challenging due to the instructor's strong accent and incorrect grammar, which might require relying on external resources.
- The pace could be faster for experienced Python programmers, as essential OOP concepts are introduced systematically over six hours.
4563942
udemy ID
22/02/2022
course created date
26/02/2022
course indexed date
Bot
course submited by