Python OOP Course: Master Object-Oriented Programming

Master Python OOP and Become a Better Python Programmer by Writing Modular, Readable, and Reusable Python OOP Code
4.63 (359 reviews)
Udemy
platform
English
language
Programming Languages
category
Python OOP Course: Master Object-Oriented Programming
1 274
students
5.5 hours
content
Aug 2023
last update
$69.99
regular price

Why take this course?

🎓 Python OOP Course: Master Object-Oriented Programming


Headline: 🚀 Master Python OOP and Become a Better Python Programmer by Writing Modular, Readable, and Reusable Python OOP Code


Course Description:

Important Note: This course is NOT for absolute beginners. Object-oriented programming (OOP) is ideal for intermediate-level learners who are comfortable with the basics of Python. 🛑

OOP is a cornerstone in software engineering and is widely used in the industry. It enables programmers to write code that is organized, modular, and efficient, making it easier to maintain, test, and scale applications. Mastering OOP concepts sets you apart as a high-performing programmer, distinguishing your work from the average coder's.

Every Python developer should recognize that at its core, Python is an object-oriented language. To truly excel in Python, one must embrace and master OOP concepts and learn how to apply them effectively.

If you aspire to be a solid Python programmer, then understanding and applying OOP principles is essential. This course will guide you through this transformative learning journey. 🎯


What You Will Learn:

  • Write Clean Code: Master the art of writing code that is reusable, modular, and readable, which are hallmarks of professional Python programming.

  • Level Up Your Skills: Elevate your Python programming skills by delving into advanced concepts and techniques.

  • Fundamental OOP Concepts: Gain a deep understanding of the key principles behind object-oriented programming, including classes, inheritance, encapsulation, and polymorphism.

  • Apply OOP in Python: Learn how to apply these concepts directly to your Python projects, enhancing both your code and your problem-solving capabilities.

  • Real-World Application: Work on a practical project that reinforces the course material, allowing you to see the immediate benefits of your learning.

  • Best Practices: Discern between good and bad practices when writing OOP code, steering clear of common pitfalls and ensuring your code is robust and maintainable.


Who Is This Course For?

This course is designed for learners who:

  • Have a basic knowledge of Python and are looking to take their skills to the next level.

  • Are eager to understand and implement fundamental OOP programming concepts.

  • Want to apply OOP principles specifically within the context of Python.

  • Prefer learning through in-depth exploration of concepts.

  • Enjoy hands-on learning experiences, including working on homework assignments and a comprehensive project.


Prerequisites for This Course:

To get the most out of this course, you should have a fairly basic knowledge of the Python programming language. You should be familiar with concepts such as:

  • Variables
  • For loops
  • Functions
  • Lists
  • Dictionaries

With these foundational skills, you'll be ready to dive into the world of object-oriented programming and elevate your Python expertise! 🐍✨

Course Gallery

Python OOP Course: Master Object-Oriented Programming – Screenshot 1
Screenshot 1Python OOP Course: Master Object-Oriented Programming
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Screenshot 2Python OOP Course: Master Object-Oriented Programming
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Screenshot 3Python OOP Course: Master Object-Oriented Programming
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Screenshot 4Python OOP Course: Master Object-Oriented Programming

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Comidoc Review

Our Verdict

The Python OOP Course: Master Object-Oriented Programming offers an insightful journey into the world of object-oriented programming within the Python ecosystem. The well-structured lessons and engaging delivery enable learners to explore fundamental concepts clearly throughout the initial stages. However, there are room for improvements in later sections such as providing more practical exercises and improving instructor interaction to ensure a smoother learning experience. Overall, it's a solid course worth considering if you're seeking an OOP crash course tailored to Python.

What We Liked

  • Comprehensive exploration of Python OOP fundamentals, including classes, objects, inheritance, and encapsulation
  • Real-world examples to help learners understand complex topics like class attributes and object relationships
  • Value-packed content that fills the knowledge gap for those familiar with programming but new to OOP in Python
  • Excellent delivery by an experienced Google engineer; easy-to-follow explanations and semantics

Potential Drawbacks

  • Overemphasis on certain topics may cause confusion or make lessons seem repetitive for more advanced programmers
  • A need for more practical exercises, hands-on homework with video solutions, and clearer project instructions to enhance the learning experience for beginners
  • Limited instructor interaction in Q&A sections, which could affect course engagement and satisfaction levels
  • Some topics in later sections appear padded and stretch beyond their necessity, causing a decline in learner interest
3830896
udemy ID
07/02/2021
course created date
13/02/2021
course indexed date
AhmedELKING
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