Artificial Intelligence ·
Intermediate
Advanced Python Software Engineering
Take your Python skills beyond the syntax basics and master advanced object-oriented design, functional paradigms, and asynchronous execution. This comprehensive course equips intermediate developers…
$100.00
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About This Course
Take your Python skills beyond the syntax basics and master advanced object-oriented design, functional paradigms, and asynchronous execution. This comprehensive course equips intermediate developers with industry-standard patterns to build scalable, high-performance, and maintainable Python applications.
Course Curriculum (10 Modules)
1
Module 1: Advanced Object-Oriented Programming and Data Models
Explore deep OOP concepts including magic methods, custom dunder implementation, property descriptors, and dynamic attribute lookup.
2
Module 2: Functional Programming Paradigms in Python
Master first-class functions, closures, partial application, and functional tools to write immutability-focused code.
3
Module 3: Advanced Decorators and Metaprogramming
Understand function and class decorators, parameterized decorators, class factories, and metaclass fundamentals.
4
Module 4: Iterators, Generators, and Memory Efficiency
Optimize memory footprints using custom iterators, generator expressions, yield pipelines, and itertools.
5
Module 5: Context Managers and Resource Management
Implement robust resource lifecycles using the context management protocol, contextlib, and cleanup guarantees.
6
Module 6: Concurrency: Multithreading and Multiprocessing
Navigate Python's Global Interpreter Lock (GIL) using thread pools, process pools, shared memory, and synchronization primitives.
7
Module 7: Asynchronous Programming with asyncio
Design high-performance I/O-bound applications using non-blocking event loops, coroutines, tasks, and async HTTP/DB clients.
8
Module 8: Enterprise Testing, Logging, and Error Handling
Construct maintainable systems using custom exception hierarchies, structured logging, pytest fixtures, and mock suites.
9
Module 9: Packaging, Dependency Management, and Distribution
Structure enterprise projects, manage dependencies cleanly with modern tooling, and publish reusable Python libraries.
10
Module 10: Performance Profiling, Optimization, and Design Patterns
Identify bottlenecks using profiling tools, apply memory optimization techniques, and implement enterprise Python design patterns.
Your Instructor
M
Marcus Thompson
Senior Instructor & Subject Specialist
Experienced professional dedicated to delivering practical, real-world instruction — helping thousands of learners master modern skills and advance their careers.