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via Udemy |
Go to Course: https://www.udemy.com/course/python-3-deep-dive-part-4/
Certainly! Here is a comprehensive review and recommendation for the "Python3: Deep Dive Part 4" course on Coursera: --- **Course Review: Python3: Deep Dive Part 4** **Overview:** "Python3: Deep Dive Part 4" is an advanced course designed for experienced Python developers who wish to deepen their understanding of Object-Oriented Programming (OOP) in Python. This course provides an in-depth exploration of complex OOP concepts, bridging theoretical foundations with practical insights. **Course Content:** The course covers a wide range of topics including: - The fundamentals of classes and instances - Class data and function attributes - Properties and various types of methods (instance, class, static) - Polymorphism and special functions - Single inheritance and method resolution - The descriptor protocol, properties, and functions - Enumeration and exception handling - Metaprogramming, including metaclasses - Advanced topics like slots, the descriptor protocol, and generators **Prerequisites:** This course is not for beginners. To benefit fully, participants should have: - Strong knowledge of functional Python programming (e.g., functions, closures, decorators) - Practical experience with Python application development - Familiarity with core OOP concepts - Experience working within Python virtual environments, pip, Jupyter Notebooks, and git **Strengths:** - **Depth & Rigor:** The course offers a thorough understanding of complex OOP concepts, going beyond basic tutorials. - **Practical Context:** While it doesn’t provide specific problem solutions, it equips learners to apply the concepts broadly in their own projects. - **Rich Content:** Topics like metaclasses, metaprogramming, and the descriptor protocol are covered, providing advanced insights valuable for deep Python mastery. - **Hands-On Materials:** Use of Jupyter Notebooks and real-world examples enhances learning. **Recommendations:** If you're an experienced Python programmer looking to master object-oriented features and advanced Python programming techniques, this course is highly recommended. It is ideal for developers who want to refine their skills and gain a deeper understanding of Python’s internal workings, enabling more sophisticated and efficient code. **Final Verdict:** "Python3: Deep Dive Part 4" is a valuable investment for seasoned programmers aiming to elevate their Python expertise. It's a challenging but rewarding course that will significantly enhance your ability to write advanced, Pythonic, and maintainable code. However, be prepared for a demanding learning curve and ensure your foundational knowledge aligns with the course requirements. --- Feel free to ask if you'd like a shorter summary or specific insights!
This Python3: Deep Dive Part 4 course takes a closer look at object oriented programming (OOP) in Python.MAIN COURSE TOPICSwhat are classes and instancesclass data and function attributespropertiesinstance, class and static methodspolymorphism and the role special functions play in thissingle inheritanceslotsthe descriptor protocol and its relationship to properties and functionsenumerationsexceptionsmetaprogramming (including metaclasses)COURSE PREREQUISITESPlease note this is NOT a beginner level course. You must have a strong working knowledge of functional Python programming as well as some practical experience developing Python applications in order to fully benefit from this course. In-depth functional Python programmingfunctions, closures, scopes, decorators (using and writing them)zip, sorted, any, all, and the itertools module in generalsequences, iterables, iterators and generators (what they are and how to implement the corresponding protocols)generators, yield, and context managersmapping types, hashing and relation to object equalitysome prior knowledge of basic OOP conceptsknow how to work with Python virtual environments and pip installavailable Jupyter Notebook (freely available) to follow along with the course notebookshow to use git[Please note that this is not a cookbook style course - I don't show you how to solve specific problems, but rather a broad and in-depth look at how OOP works in the context of Python, that will allow you to apply these concepts and techniques to your own problems.]