Advanced Python
Master Python internals to build robust libraries and frameworks
Advanced Python is a focused course that takes experienced developers deeper into Python internals and metaprogramming techniques. It emphasizes practical, language-level mechanics—covering descriptors, metaclasses, object internals, and byte-oriented programming—to help learners reason about and build robust libraries and frameworks.
The instruction stresses applicable patterns and tool-ready knowledge so you can implement custom attribute access, control class and instance construction, and work confidently with low-level byte representations. By the end, learners should be able to design and modify framework-level components using descriptors, metaclasses, and other advanced language features.
At a Glance
Advanced Python is a Pluralsight course taught by Robert Smallshire that goes beyond everyday Python to the techniques used by experienced developers, library authors, and framework designers.
The syllabus emphasizes deep language mechanics—attribute access, class construction, metaprogramming, and byte-oriented internals—to give learners the tools needed to implement sophisticated Python frameworks and libraries.
| Level | Advanced |
| Rating | 4.5 out of 5 |
| Duration | 3+ hours |
| Languages | English |
| Certificate | Certificate of completion |
| Access | Access while your subscription is active |
| Course includes |
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| Price | Subscription-based, monthly or annual plans |
What This Course Teaches
The course frames outcomes as concrete, measurable competencies that prepare learners to work with Python at the library and framework level.
Students will learn to implement and apply advanced language features so they can build, modify, and reason about sophisticated Python codebases.
How the Course Is Structured
The course is organized into nine focused modules that group short topic-specific video clips into coherent units covering Python internals and metaprogramming.
Overall runtime is 3+ hours total, and the syllabus lists per-module runtimes so learners can pace their study.
Curriculum overview
01Course Overview▾
Brief orientation to course goals, structure, and how to use the clips effectively.
02Advanced Flow Control▾
Covers loop-else and try-else constructs, dispatch patterns, and alternatives for complex control flow.
03Byte-oriented Programming▾
Explores byte/bytearray types, bitwise operations, memoryview, interpreting binary structures, and memory-mapped files.
04Object Internals and Custom Attributes▾
Examines how Python objects are represented and how to customize attribute access (getattr, setattr, getattribute), slots, and method storage.
05Descriptors▾
Introduces descriptors, shows properties-as-descriptors, and guides implementing data and non-data descriptors.
06Instance Creation▾
Discusses object allocation and customizing instance creation using __new__ and related patterns.
07Metaclasses▾
Covers metaclass mechanics, class allocation/initialization, metaclass __call__, naming descriptors with metaclasses, and inheritance interactions.
08Class Decorators▾
Demonstrates class decorator patterns for enforcing invariants, wrapping properties, and composing class behavior.
09Abstract Base Classes▾
Explains ABCs, virtual subclass registration, MRO-related method resolution, and practical ABC use in libraries.
Audience & Requirements
This course targets experienced Python practitioners who need deeper mastery of the language internals for building libraries, frameworks, or advanced backend components.
Ideal learners are developers who want to apply metaprogramming, descriptors, and class-level customization to real-world codebases.
- Library and framework authors implementing reusable abstractions.
- Senior or backend Python developers seeking deeper language internals.
- Software architects and technical leads designing extensible systems.
- Contributors to performance-sensitive or low-level Python code.
- Solid, practical Python experience (comfort with classes, functions, and common idioms).
- Familiarity with object-oriented programming and the Python object model.
- A local Python 3 environment and ability to run small code examples.
- A code editor or IDE for reading and experimenting with snippets (e.g., VS Code, PyCharm).
Final Verdict
This is a focused, practical deep-dive that delivers the kind of internals and metaprogramming material experienced Python developers need; given its strong platform rating and concentrated syllabus, it represents a worthwhile investment for learners building libraries or framework-level code. If you are an experienced Python developer aiming to implement robust, extensible abstractions, this course is worth taking.
The subscription access model and included certificate make it good value for people who already use the platform or plan to study multiple courses, while those without solid Python foundations should prepare with intermediate-level material first. Choose this course if you have practical Python experience and want targeted, framework-level skills; defer it if you need to strengthen core language fundamentals.
