Advanced Free 26 hours

Advanced Python Engineering

Master protocols, internals, typing, concurrency, and production design

Move beyond Python syntax into the mechanisms and design choices behind professional systems. This course connects the data model, references and copying, iterators, generators, first-class functions, decorators, advanced typing, protocols, Pythonic objects, descriptors, class creation, concurrency, asyncio, profiling, packaging, testing, and security. It culminates in a typed asynchronous ingestion pipeline with bounded concurrency, backpressure, structured errors, and production-ready packaging.

Enroll free View curriculum

What you will learn

Leave with a working mental model.

  1. 01 Reason precisely about references, mutability, protocols, and the Python data model
  2. 02 Build lazy pipelines with iterators, generators, closures, and decorators
  3. 03 Design typed interfaces with generics, callables, protocols, and abstract base classes
  4. 04 Create Pythonic objects using special methods, composition, properties, and descriptors
  5. 05 Choose correctly among threads, processes, executors, and asyncio
  6. 06 Profile, test, secure, package, and operate an advanced Python application
  7. 07 Build a typed asynchronous ingestion pipeline with backpressure and bounded concurrency

Before you begin

Prerequisites

  • Comfort writing Python functions, classes, modules, and tests
  • Working knowledge of collections, exceptions, type hints, files, and virtual environments
  • Completion of Python Fundamentals for Engineers or equivalent experience

Curriculum

Course contents

8 modules · 32 lessons

01 Module 1: Runtime Model and the Data Model 4 lessons
  1. 01 References, Mutability, and Copying Preview
  2. 02 The Python Data Model and Protocols Preview
  3. 03 Pythonic Value Objects
  4. 04 AST, Bytecode, and Introspection
02 Module 2: Lazy Pipelines and First-Class Behavior 4 lessons
  1. 01 Iterator Protocol from First Principles Preview
  2. 02 Generator Pipelines and Streaming
  3. 03 First-Class Functions and Dispatch
  4. 04 Closures and Production-Quality Decorators
03 Module 3: Advanced Typing and Interface Design 4 lessons
  1. 01 Generics and Type Variables Preview
  2. 02 Callable, TypedDict, Literal, and Overloads
  3. 03 Structural Protocols and Duck Typing
  4. 04 ABCs, Protocols, and Boundary Choices
04 Module 4: Pythonic Object Design 4 lessons
  1. 01 Properties and Managed Attributes Preview
  2. 02 Custom Sequences and Special Methods
  3. 03 Composition, Mixins, MRO, and super
  4. 04 Equality, Hashing, Ordering, and Immutability
05 Module 5: Descriptors and Class Metaprogramming 4 lessons
  1. 01 Attribute Lookup and Descriptor Precedence Preview
  2. 02 Reusable Validating Descriptors
  3. 03 Class Decorators and __init_subclass__
  4. 04 Metaclasses and the Escalation Rule
06 Module 6: Concurrency, Parallelism, and Executors 4 lessons
  1. 01 Workload Classification and the GIL Preview
  2. 02 Threads, Locks, and Shared State
  3. 03 Executors, Futures, and Failure Handling
  4. 04 Processes, Serialization, and Cost
07 Module 7: Asyncio and Cooperative Systems 4 lessons
  1. 01 Event Loop, Coroutines, and Tasks Preview
  2. 02 Timeouts, Cancellation, and Structured Cleanup
  3. 03 Queues, Backpressure, and Bounded Concurrency
  4. 04 Blocking Bridges and Async Protocols
08 Module 8: Production Capstone: Typed Async Ingestion 4 lessons
  1. 01 Measure First and Design the Pipeline Preview
  2. 02 Implement the Typed Async Pipeline
  3. 03 Resilience, Security, and Deterministic Tests
  4. 04 Profile, Package, and Operate the Service