Python Object Oriented Programming (OOP)

Python 3: Deep Dive (Part 4 - OOP)

Name: Advanced Python Object-Oriented Programming Deep Dive
Rating: 6.5

InstructorDr. Fred Baptiste

Duration36h 41m

Students38.2K

Rating4.9 (3,777)

Advanced Python Object-Oriented Programming Deep Dive

Strengths

Advanced Technical Depth

The curriculum explores complex mechanics such as descriptors, the __new__ method, and metaclasses to explain how Python's OOP model functions.

Structured Practical Application

Instruction is organized into multiple project sections that integrate theoretical lectures with dedicated coding segments for implementation.

Limitations

Specific Topic Omissions

One signal suggests the curriculum could benefit from including coverage of dataclasses and multiple inheritance.

Instructional Tone and Pace

Learner signals indicate a slow delivery pace and use of language that may feel non-inclusive to some students.

Best suited to

Intermediate Python developers seeking conceptual depth
Learners interested in the internal mechanics of descriptors and metaclasses

Less suited to

Beginners lacking functional programming experience
Learners seeking a fast-paced or brief overview

Comidoc Score

6.5/10

Worth considering

Intermediate level

Comidoc verdict

The learning path moves from core class mechanics into advanced territory, specifically targeting the internal logic of descriptors and metaprogramming. This depth is supported by a project-led structure that pairs theory with implementation segments.

The technical detail is high, but learners should be prepared for a slower instructional pace and a very long total duration. One signal also notes that certain modern topics like dataclasses are not explicitly covered.

Experienced intermediate developers who have mastered functional Python and wish to understand the 'why' behind object-oriented behavior will find this most useful.

Score breakdown