Python Object Oriented Programming (OOP): Beginner to Pro

Deep OOP Foundations From Absolute Scratch
4.51 (667 reviews)
Udemy
platform
English
language
Programming Languages
category
instructor
Python Object Oriented Programming (OOP): Beginner to Pro
5 314
students
27 hours
content
Oct 2024
last update
$29.99
regular price

Why take this course?

🌟 Unlock the Secrets of Python OOP with Andy Bek 🌟


Course Headline:

Deep OOP Foundations From Absolute Scratch 🚀


Welcome to the best resource online and the only one you need to learn and master object-oriented programming with modern Python! With this comprehensive course, you'll gain a profound understanding of Python's object-oriented capabilities, all from absolute scratch.


There has never been a better time to learn Python. Consistently ranked in the top 3 most in-demand and most-loved programming languages globally, Python is essential for machine learning, web development, data science, automation, game development, and beyond. Its relevance is only growing, and with this course, you'll be at the forefront of this exciting field.


While many resources teach the basics of Python, transitioning to intermediate and advanced concepts can be challenging. This course seeks to address that gap. Over more than 20 hours of detailed lectures, live coding, and guided projects, we'll explore everything Python has to offer in object-oriented programming (OOP). We'll start from the very beginning and progress towards mastery, all without any external dependencies—pure Python all the way.


–––– Structure & Curriculum –––––

Our curriculum is meticulously designed to guide you through the stages of learning OOP in Python with increasing proficiency. Here's what you can expect:

  • Part 1: Essential Foundations
    • Classes
    • Dunders (double underscores)
    • Properties
    • Inheritance

After establishing a solid foundation, we'll move on to more advanced topics in the next five sections. These include:

  • Modern Features & Pivotal Constructs
    • Slots
    • Dataclasses
    • Descriptors
    • Enumerations
    • Exceptions

In the final four sections, we'll delve into Python's type system and explore patterns such as:

  • Dynamic Protocols & Abstract Base Classes
  • Multiple Inheritance
  • Class Metaprogramming

This course is perfect for anyone who is committed to mastering object-oriented programming with Python, regardless of your prior experience. That's why we've included a full-length bonus introduction to the Python programming language. This will ensure that learners from all levels can get up and running writing pythonic code in no time.


I hope you commit to joining me in this journey as we take your Python to the next level. Whether you're a beginner or an experienced developer looking to refine your skills, this course will provide you with the depth of knowledge and practical experience needed to excel in Python OOP.


See you inside! Let's embark on this transformative learning adventure together. 🚀✨

Course Gallery

Python Object Oriented Programming (OOP): Beginner to Pro – Screenshot 1
Screenshot 1Python Object Oriented Programming (OOP): Beginner to Pro
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Screenshot 2Python Object Oriented Programming (OOP): Beginner to Pro
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Screenshot 4Python Object Oriented Programming (OOP): Beginner to Pro

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Comidoc Review

Our Verdict

Python Object Oriented Programming (OOP): Beginner to Pro is an intensive course that builds upon fundamental OOP concepts while diving deep into advanced Pythonic approaches like dataclasses and metaprogramming. Boasting professional-quality audio and video, the course features a skilled instructor with a knack for making complex topics understandable. Despite some difficulties in following along with demanding content and occasional mismatches between code examples and lecture material, participants will emerge with an enriched understanding of Python OOP best practices. However, fast-paced content and subpar transcript support may challenge some learners—particularly beginners and non-native English speakers.

What We Liked

  • Excellent coverage of Python OOP, going beyond basics to explore advanced topics like dataclasses, enumerations, slots, and metaprogramming
  • In-depth explanations of class dunder methods, inheritance, properties, and descriptors
  • Practical skill challenges that encourage application of learned concepts through problem-solving
  • Professional quality video and audio, presentations with clear code explanations
  • Knowledgeable and engaging instructor who explains complex topics in an accessible manner

Potential Drawbacks

  • Fast-paced content might be challenging for beginners or non-native English speakers
  • Large number of subtopics could lead to occasional confusion; some found the pace overwhelming despite benefits
  • Exercises are quite demanding and may require additional self-study for full comprehension
  • Several students expressed frustration with code examples not always matching up perfectly with lecture content
  • Some subtitles don't provide sufficient support for non-native English speakers; listening skills will be crucial
4450214
udemy ID
18/12/2021
course created date
24/12/2021
course indexed date
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