Python 3: Deep Dive (Part 4 - OOP)
Why take this course?
🚀 Course Title: Python Object Oriented Programming (OOP) 🐍
🌍 Course Description: Embark on a deep dive into the realm of Object-Oriented Programming (OOP) within the versatile world of Python. In this advanced course, Dr. Fred Baptiste guides you through the intricacies of OOP, unlocking the full potential of Python's class system and its powerful abstractions. This is not your typical introductory course; it's a comprehensive exploration designed for programmers who have already mastered functional programming in Python and are eager to delve into more complex concepts and techniques.
🎓 Main Course Topics:
- Classes and Instances: Understand the building blocks of OOP in Python.
- Class Data and Function Attributes: Learn how to manage data and behavior within your classes.
- Properties: Discover how properties work and how they differ from attributes.
- Instance, Class, and Static Methods: Master the different types of methods available in Python classes.
- Polymorphism: Explore the power of polymorphism and its role in OOP.
- Single Inheritance: Dive into single inheritance and how it extends your classes.
- Slots: Learn about slot objects and their importance in class design.
- Descriptor Protocol: Understand the descriptor protocol and its implications for properties and functions.
- Enumerations: Enhance your code with custom enumerations.
- Exceptions: Handle errors gracefully with Python's exception system.
- Metaprogramming (including Metaclasses): Unlock advanced metaprogramming techniques to create dynamic class behaviors.
📚 Course Prerequisites: This is an advanced course, and participants are expected to have a strong foundation in functional Python programming. You should be comfortable with the following prerequisites:
- In-depth Functional Python Programming: A deep understanding of Python's functional aspects.
- Functions, Closures, Scopes, and Decorators: Proficiency in creating, using, and writing decorators.
- Itertools Module and Generators: Experience with advanced iterable processing, generators, yield, and context managers.
- Mapping Types, Hashing, and Object Equality: A solid grasp of how Python handles mappings, hashing, and object comparison.
- Basic OOP Concepts: Prior knowledge of fundamental OOP concepts.
- Python Virtual Environments and pip Install: Familiarity with setting up Python environments and installing packages.
- Jupyter Notebooks: Access to and experience with Jupyter Notebooks for following along with the course materials.
- Git Skills: Comfortable with using version control with git.
[This course is a deep dive into OOP within Python, focusing on understanding and applying these concepts rather than solving predefined problems. It's an opportunity to expand your knowledge and apply these advanced techniques to solve complex problems in your own Python projects.]
👩🏫 Instructor: Dr. Fred Baptiste is a seasoned instructor with extensive experience in teaching complex topics in programming with clarity and precision. His approach makes even the most intricate concepts accessible and understandable, ensuring students grasp the material and are equipped to apply it effectively in their own projects.
Join us on this Pythonic adventure and unlock the full capabilities of object-oriented programming in Python! 🧙♂️🎉
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Comidoc Review
Our Verdict
Python 3: Deep Dive (Part 4 - OOP) on Udemy offers an engaging and detailed exploration of Python Object Oriented Programming concepts. Enthusiastic instructors, intriguing projects, and a thorough examination of edge cases create a valuable learning experience marred only by its occasionally overwhelming nature and some missing topics promised in the course description. A deep dive into Python OOP that's well worth consideration for dedicated learners.
What We Liked
- Detailed and engaging coverage of Python Object Oriented Programming (OOP) concepts, making complex topics accessible
- Excellent projects that reinforce learning and provide practical experience in applying new skills
- Instructor conveys knowledge with enthusiasm and clarity, enhancing the overall learning journey
- Comprehensive exploration of relevant edge cases and nuances, promoting a deeper understanding of Python OOP
Potential Drawbacks
- May be too detailed for some learners, potentially overwhelming those seeking an introduction to Python OOP
- Promised topics like multiple inheritance or abstract base classes are not included in the course
- Some sections may get complex, requiring focus and concentration from the learner