Python 3: Deep Dive (Part 2 - Iteration, Generators)
34h 42m 47s
English
Paid
Updated September 2026
Python 3: Deep Dive (Part 2 - Iteration, Generators) is a 137-lesson 34 hours 42 minutes self-paced course by Udemy. Part 2 of this Python 3 deep-dive series leaves syntax basics behind and goes straight at how iteration actually works under the hood: the sequence and iterable protocols, custom iterators, and the comprehension syntax built on top of…
Course facts
Lessons
137
Duration
34 hours 42 minutes
Level
All levels
Language
English
Updated
2026-09-11
Instructor
Udemy
Price
Premium
Part 2 of this Python 3 deep-dive series leaves syntax basics behind and goes straight at how iteration actually works under the hood: the sequence and iterable protocols, custom iterators, and the comprehension syntax built on top of them.
Core topics
Sequences, iterables, and iterators, and how the three protocols relate
Generator functions and generator expressions as an alternative to comprehensions
The itertools module and its less-obvious but genuinely useful tools
Context managers, including writing your own and building them from generator functions
Using generators to implement coroutines
Every section ends with a small project so the ideas get used, not just explained. The course sticks to the language and standard library only — no third-party packages — and each module builds on real command of closures, decorators, exception handling, and basic OOP, so it's aimed at developers who already know their way around core Python and want to push into its more advanced mechanics.
137 lessons cover this ground in detail, making it a solid follow-up for anyone who's outgrown beginner Python material.
Who teaches Python 3: Deep Dive (Part 2 - Iteration, Generators)? Udemy
Udemy is the largest open marketplace for online courses on the internet. Founded in 2010 by Eren Bali, Oktay Caglar, and Gagan Biyani and headquartered in San Francisco, the company went public on the Nasdaq in 2021 under the ticker UDMY. The platform hosts well over two hundred thousand courses across software development, IT and cloud, data science, design, business, marketing, and creative skills, taught by tens of thousands of independent instructors. Roughly seventy million learners use it worldwide, and the corporate arm — Udemy Business — supplies a curated subset of that catalog to enterprise customers.
Because Udemy is a marketplace rather than a single editorial publisher, the catalog is uneven by design. The strongest material lives in the long-form, project-based courses authored by working engineers — full-stack JavaScript, React, Node.js, Python data science, AWS, Docker and Kubernetes, mobile development with Flutter and React Native, and cloud certification preparation. The CourseFlix listing under this source is the slice of that catalog that has been mirrored here for offline-friendly viewing, organized by topic and updated as new releases land. Pricing on Udemy itself swings dramatically with the site's near-permanent sales, which is why the platform is best treated as a deep reference catalog: pick instructors with strong reviews and a track record of updating their material rather than buying on the headline price alone.
What lessons are included in Python 3: Deep Dive (Part 2 - Iteration, Generators)?
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Frequently asked questions
What prerequisites are needed for this course?
Students should have a solid understanding of Python fundamentals, including basic syntax, data types, and control flow. Familiarity with Python 3 is necessary as the course explores advanced topics like iterators, generators, and context managers. It's also recommended that students have completed Part 1 of the Python 3: Deep Dive series or possess equivalent experience.
What projects will be completed in this course?
Throughout the course, students will engage in several projects designed to reinforce the concepts covered. These projects involve practical applications of iterators, generators, and context managers to solve complex problems. Each section concludes with a project that challenges students to apply what they have learned, ensuring a comprehensive understanding of the course material.
Who is the target audience for this course?
The course is intended for intermediate Python programmers who are looking to deepen their understanding of iteration and generator functions in Python 3. It's ideal for developers seeking to enhance their skills in writing efficient and Pythonic code using advanced constructs like itertools, context managers, and generator-based coroutines.
What specific tools or modules are covered in the course?
The course covers the itertools module extensively, highlighting its lesser-known functionalities. Students will also learn about Python's built-in iterables and iterators, and how to use context managers effectively. These tools are essential for writing efficient Python code and understanding the language's iteration protocols.
What topics are not covered in this course?
This course does not cover third-party libraries or frameworks, focusing exclusively on Python's standard library and the CPython distribution. While these libraries are important in the Python ecosystem, the course aims to provide a deep understanding of Python's native capabilities, particularly with iteration and generators.
How much time should I expect to commit to this course?
The course consists of 137 lessons and includes both lectures and coding exercises. Although the exact runtime is unspecified, students should expect to spend a significant amount of time practicing coding exercises and completing projects to fully grasp the advanced topics covered.
How will this course benefit my career in software development?
By mastering advanced iteration techniques, comprehensions, and generators, developers can write more efficient and maintainable Python code. The skills acquired in this course are valuable for roles that require proficiency in Python, such as data science, web development, and software engineering, making it a beneficial addition to a developer's skill set.
