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Python Advanced

Master advanced Python for high-performance systems

Learn concurrency, parallelism, async programming, metaprogramming, and advanced architectural patterns for building scalable, production-grade applications.

What You'll Master

⚡
Async & Concurrency

Master asyncio, coroutines, and concurrent execution

🔄
Parallelism & Multiprocessing

Leverage multiple CPU cores for maximum performance

🧬
Metaprogramming

Metaclasses, descriptors, and dynamic code generation

🏗️
Design Patterns & Architecture

Build maintainable, scalable enterprise applications

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Production-Ready Skills

Memory management, C extensions, optimization, and deployment

Why Go Advanced?

Advanced Python separates senior engineers from beginners. You'll learn to build high-performance, concurrent systems, understand Python's internals, and master the patterns used by top tech companies. This is the knowledge that gets you promoted and lets you architect complex, scalable solutions.

Start Learning: Async Programming
Master asyncio and build concurrent applications!

Course Index

  1. Async Programming Fundamentals
    Asyncio, coroutines, event loops, and async/await
  2. Async Patterns & Best Practices
    Async context managers, iterators, error handling
  3. Threading & Concurrency
    Threads, locks, GIL, thread pools, and concurrent.futures
  4. Multiprocessing & Parallelism
    Process pools, shared memory, IPC, and CPU-bound tasks
  5. Metaclasses & Descriptors
    Deep dive into Python's object model and metaprogramming
  6. Memory Management & Optimization
    Garbage collection, weak references, __slots__, memory profiling
  7. Python Internals Deep Dive
    CPython internals, bytecode, GIL, import system, and AST manipulation
  8. Context Managers & Protocols
    Advanced context management and protocol implementation
  9. C Extensions & Performance
    Cython, ctypes, CFFI, and integrating with C/C++
  10. Data Structures
    Advanced Data Structures for complex algorithmic problems
  11. Dataclasses & Pydantic & TypedDict
    Writing maintainable code
  12. Data Manipulation at Scale
    Pandas, Dask, Vaex, and Polars for large datasets
  13. Advanced Capstone Project
    Build a high-performance, concurrent, production-ready system

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