Advanced Python Mastery

Master concurrency, async programming, metaprogramming, performance optimization, design patterns, and production-ready Python.

Advanced6 Weeks10 Lessons82 82 sourcesNuniversity
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Course Content

  1. 01Threading, Multiprocessing, and Concurrency
  2. 02Asynchronous Programming with asyncio
  3. 03Metaclasses and Descriptors
  4. 04Advanced Decorators
  5. 05Performance Optimization, Cython, and Numba
  6. 06Memory Management and Garbage Collection
  7. 07Creational and Structural Design Patterns
  8. 08Behavioral Design Patterns
  9. 09Building APIs with FastAPI
  10. 10Package Distribution and PyPI Publishing

Lessons: 10 · 6 Weeks

Sources and references

82

82 sources across 6 lessons

  1. threading, Thread-based parallelismPython Software Foundation

    Accessed 2026-11-08

    Used in: Threading, Multiprocessing, and Concurrency

  2. Python support for free threadingPython Software Foundation

    Accessed 2026-11-08

    Used in: Threading, Multiprocessing, and Concurrency

  3. concurrent.futures, Launching parallel tasksPython Software Foundation

    Accessed 2026-11-08

    Used in: Threading, Multiprocessing, and Concurrency

  4. multiprocessing, Process-based parallelismPython Software Foundation

    Accessed 2026-11-08

    Used in: Threading, Multiprocessing, and Concurrency

  5. What's New In Python 3.14Python Software Foundation

    Accessed 2026-11-08

    Used in: Threading, Multiprocessing, and Concurrency, Asynchronous Programming with asyncio, Metaclasses and Descriptors, Advanced Decorators, Memory Management and Garbage Collection

  6. PEP 734, Multiple Interpreters in the StdlibPython Software Foundation

    Accessed 2026-11-08

    Used in: Threading, Multiprocessing, and Concurrency

  7. concurrent.interpreters, Multiple interpreters in the same processPython Software Foundation

    Accessed 2026-11-08

    Used in: Threading, Multiprocessing, and Concurrency

  8. PEP 703, Making the Global Interpreter Lock Optional in CPythonPython Software Foundation

    Accessed 2026-11-08

    Used in: Threading, Multiprocessing, and Concurrency, Memory Management and Garbage Collection

  9. PEP 779, Criteria for accepting an official parallel free-threaded CPython buildPython Software Foundation

    Accessed 2026-11-08

    Used in: Threading, Multiprocessing, and Concurrency

  10. sysconfig, Provide access to Python's configuration informationPython Software Foundation

    Accessed 2026-11-08

    Used in: Threading, Multiprocessing, and Concurrency

  11. sys, System-specific parameters and functionsPython Software Foundation

    Accessed 2026-11-08

    Used in: Threading, Multiprocessing, and Concurrency, Memory Management and Garbage Collection

  12. Free-threaded Python: one year recapQuansight Labs

    Accessed 2026-11-08

    Used in: Threading, Multiprocessing, and Concurrency, Memory Management and Garbage Collection

  13. PEP 803, Stable ABI for Free-Threaded BuildsPython Software Foundation

    Accessed 2026-11-08

    Used in: Threading, Multiprocessing, and Concurrency

  14. What's New In Python 3.15Python Software Foundation

    Accessed 2026-11-08

    Used in: Threading, Multiprocessing, and Concurrency, Asynchronous Programming with asyncio, Metaclasses and Descriptors, Advanced Decorators, Performance Optimization, Cython, and Numba, Memory Management and Garbage Collection

  15. faulthandler, Dump the Python tracebackPython Software Foundation

    Accessed 2026-11-08

    Used in: Threading, Multiprocessing, and Concurrency

  16. py-spy, Sampling profiler for Python programsGitHub

    Accessed 2026-11-08

    Used in: Threading, Multiprocessing, and Concurrency, Performance Optimization, Cython, and Numba

  17. torch.utils.data, Data loading utilitiesPyTorch Foundation

    Accessed 2026-11-08

    Used in: Threading, Multiprocessing, and Concurrency

  18. joblib.Parallel, Embarrassingly parallel helper objectjoblib project

    Accessed 2026-11-08

    Used in: Threading, Multiprocessing, and Concurrency

  19. A conceptual overview of asyncioPython Software Foundation

    Accessed 2026-11-08

    Used in: Asynchronous Programming with asyncio

  20. asyncio, Asynchronous I/OPython Software Foundation

    Accessed 2026-11-08

    Used in: Asynchronous Programming with asyncio

  21. Coroutines and TasksPython Software Foundation

    Accessed 2026-11-08

    Used in: Asynchronous Programming with asyncio

  22. What's New In Python 3.13Python Software Foundation

    Accessed 2026-11-08

    Used in: Asynchronous Programming with asyncio, Metaclasses and Descriptors

  23. What's New In Python 3.11Python Software Foundation

    Accessed 2026-11-08

    Used in: Asynchronous Programming with asyncio

  24. Synchronization PrimitivesPython Software Foundation

    Accessed 2026-11-08

    Used in: Asynchronous Programming with asyncio

  25. QueuesPython Software Foundation

    Accessed 2026-11-08

    Used in: Asynchronous Programming with asyncio

  26. AnyIO documentationAnyIO project

    Accessed 2026-11-08

    Used in: Asynchronous Programming with asyncio

  27. Trio documentationTrio project

    Accessed 2026-11-08

    Used in: Asynchronous Programming with asyncio

  28. StreamsPython Software Foundation

    Accessed 2026-11-08

    Used in: Asynchronous Programming with asyncio

  29. httpx2, a next generation HTTP clientGitHub

    Accessed 2026-11-08

    Used in: Asynchronous Programming with asyncio

  30. Uvicorn documentationEncode

    Accessed 2026-11-08

    Used in: Asynchronous Programming with asyncio

  31. Netflix Dispatch, incident management platformGitHub

    Accessed 2026-11-08

    Used in: Asynchronous Programming with asyncio

  32. asyncio integration, Sentry for PythonSentry

    Accessed 2026-11-08

    Used in: Asynchronous Programming with asyncio

  33. uvloop, ultra fast asyncio event loopGitHub

    Accessed 2026-11-08

    Used in: Asynchronous Programming with asyncio

  34. Data model, Python 3.15 referencePython Software Foundation

    Accessed 2026-11-08

    Used in: Metaclasses and Descriptors

  35. types, Dynamic type creation and names for built-in typesPython Software Foundation

    Accessed 2026-11-08

    Used in: Metaclasses and Descriptors

  36. PEP 487, Simpler customisation of class creationPython Software Foundation

    Accessed 2026-11-08

    Used in: Metaclasses and Descriptors

  37. abc, Abstract Base ClassesPython Software Foundation

    Accessed 2026-11-08

    Used in: Metaclasses and Descriptors

  38. enum, Support for enumerationsPython Software Foundation

    Accessed 2026-11-08

    Used in: Metaclasses and Descriptors

  39. Descriptor HowTo GuidePython Software Foundation

    Accessed 2026-11-08

    Used in: Metaclasses and Descriptors

  40. PEP 649, Deferred Evaluation Of Annotations Using DescriptorsPython Software Foundation

    Accessed 2026-11-08

    Used in: Metaclasses and Descriptors, Advanced Decorators

  41. annotationlib, Function for retrieving and evaluating annotationsPython Software Foundation

    Accessed 2026-11-08

    Used in: Metaclasses and Descriptors, Advanced Decorators

  42. PEP 681, Data Class TransformsPython Software Foundation

    Accessed 2026-11-08

    Used in: Metaclasses and Descriptors

  43. inspect, Inspect live objectsPython Software Foundation

    Accessed 2026-11-08

    Used in: Metaclasses and Descriptors, Advanced Decorators

  44. Django model base class sourceGitHub

    Accessed 2026-11-08

    Used in: Metaclasses and Descriptors

  45. Declarative mapping styles, SQLAlchemy 2.1SQLAlchemy

    Accessed 2026-11-08

    Used in: Metaclasses and Descriptors

  46. Pydantic, data validation using Python type hintsGitHub

    Accessed 2026-11-08

    Used in: Metaclasses and Descriptors

  47. PEP 318, Decorators for Functions and MethodsPython Software Foundation

    Accessed 2026-11-08

    Used in: Advanced Decorators

  48. PEP 3129, Class DecoratorsPython Software Foundation

    Accessed 2026-11-08

    Used in: Advanced Decorators

  49. functools, Higher-order functions and operations on callable objectsPython Software Foundation

    Accessed 2026-11-08

    Used in: Advanced Decorators

  50. PEP 612, Parameter Specification VariablesPython Software Foundation

    Accessed 2026-11-08

    Used in: Advanced Decorators

  51. typing, Support for type hintsPython Software Foundation

    Accessed 2026-11-08

    Used in: Advanced Decorators

  52. contextlib, Utilities for with-statement contextsPython Software Foundation

    Accessed 2026-11-08

    Used in: Advanced Decorators

  53. dataclasses, Data ClassesPython Software Foundation

    Accessed 2026-11-08

    Used in: Advanced Decorators

  54. Path operation configuration, FastAPIFastAPI

    Accessed 2026-11-08

    Used in: Advanced Decorators

  55. How to use fixtures, pytestpytest project

    Accessed 2026-11-08

    Used in: Advanced Decorators

  56. Validators, PydanticPydantic

    Accessed 2026-11-08

    Used in: Advanced Decorators

  57. PEP 747, Annotating Type Forms with TypeFormPython Software Foundation

    Accessed 2026-11-08

    Used in: Advanced Decorators

  58. profile and cProfile, Python profilersPython Software Foundation

    Accessed 2026-11-08

    Used in: Performance Optimization, Cython, and Numba

  59. Scalene, a high-performance CPU, GPU and memory profiler for PythonGitHub

    Accessed 2026-11-08

    Used in: Performance Optimization, Cython, and Numba

  60. PEP 799, The profiling packagePython Software Foundation

    Accessed 2026-11-08

    Used in: Performance Optimization, Cython, and Numba

  61. sys.monitoring, Access and control event monitoringPython Software Foundation

    Accessed 2026-11-08

    Used in: Performance Optimization, Cython, and Numba

  62. timeit, Measure execution time of small code snippetsPython Software Foundation

    Accessed 2026-11-08

    Used in: Performance Optimization, Cython, and Numba

  63. Broadcasting, NumPy user guideNumPy

    Accessed 2026-11-08

    Used in: Performance Optimization, Cython, and Numba

  64. Basic Cython tutorialCython project

    Accessed 2026-11-08

    Used in: Performance Optimization, Cython, and Numba

  65. Typed memoryviewsCython project

    Accessed 2026-11-08

    Used in: Performance Optimization, Cython, and Numba

  66. Working with NumPy arrays in CythonCython project

    Accessed 2026-11-08

    Used in: Performance Optimization, Cython, and Numba

  67. Pure Python modeCython project

    Accessed 2026-11-08

    Used in: Performance Optimization, Cython, and Numba

  68. Using parallelism in CythonCython project

    Accessed 2026-11-08

    Used in: Performance Optimization, Cython, and Numba

  69. Free threading and CythonCython project

    Accessed 2026-11-08

    Used in: Performance Optimization, Cython, and Numba

  70. Compiling Python code with @jitNumba project

    Accessed 2026-11-08

    Used in: Performance Optimization, Cython, and Numba

  71. Automatic parallelization with @jitNumba project

    Accessed 2026-11-08

    Used in: Performance Optimization, Cython, and Numba

  72. Contributing to the code base, pandaspandas

    Accessed 2026-11-08

    Used in: Performance Optimization, Cython, and Numba

  73. Cython best practices, conventions and standards, scikit-learnscikit-learn

    Accessed 2026-11-08

    Used in: Performance Optimization, Cython, and Numba

  74. STUMPY documentationSTUMPY project

    Accessed 2026-11-08

    Used in: Performance Optimization, Cython, and Numba

  75. gc, Garbage Collector interfacePython Software Foundation

    Accessed 2026-11-08

    Used in: Memory Management and Garbage Collection

  76. tracemalloc, Trace memory allocationsPython Software Foundation

    Accessed 2026-11-08

    Used in: Memory Management and Garbage Collection

  77. resource, Resource usage informationPython Software Foundation

    Accessed 2026-11-08

    Used in: Memory Management and Garbage Collection

  78. Memray documentationBloomberg

    Accessed 2026-11-08

    Used in: Memory Management and Garbage Collection

  79. array, Efficient arrays of numeric valuesPython Software Foundation

    Accessed 2026-11-08

    Used in: Memory Management and Garbage Collection

  80. copy, Shallow and deep copy operationsPython Software Foundation

    Accessed 2026-11-08

    Used in: Memory Management and Garbage Collection

  81. weakref, Weak referencesPython Software Foundation

    Accessed 2026-11-08

    Used in: Memory Management and Garbage Collection

  82. PEP 683, Immortal Objects, Using a Fixed RefcountPython Software Foundation

    Accessed 2026-11-08

    Used in: Memory Management and Garbage Collection