Watch Advanced Topics In Python Programming Video Tutorials & Courses

I've done over 25 interviews for senior Python developer positions for roles with compensation up to $200k. I created this list of concepts I have had to learn from being interviewed. I noticed most Python interview prep content out there is pretty basic stuff, so I put together this list of more advanced concepts which will allow you to shine and really set you apart in interviews as someone who understands the Python ecosystem well. A lot of these concepts focus around memory management, performant applications and clean-code, which are all good indicators of a senior developer. If you would like acccess to the full study guide which includes a Notion page with all my notes for each concept, along with code examples, let me know in the comments! This video is for anyone looking to level up their Python skills beyond the junior and mid level and nail their senior Python interviews. Sign up for my newsletter where I share what I learn as a senior AI engineer: https://the-human-loop.beehiiv.com/ Need career advice, a mock interview or resume review for an AI engineer role? Work with me 1:1: https://pensight.com/x/gustaf Github repo: https://github.com/GGyll/fifty-advanced-python-concepts Do this before starting your AI project: https://youtu.be/tOhllbgVHSU How I got my first AI Engineer Job: https://youtu.be/_y-7mr-eO-o My website: https://www.nordprop.tech/ Follow me on X: https://x.com/gostak_dd (Let me know you came from this video!) -- CHAPTERS -- 0:00 Intro 0:53 1. Arrays 1:54 2. Garbage collection with circular references 2:28 3. Not returning dicts & lists 3:27 4. Method Resolution Order 4:17 5. Walrus operator 5:07 6. operator.attrgetter 6:16 7. CPython 8:34 8. Global Interpreter Lock (GIL) 9:40 9. Concurrency 10:50 10. Multithreading 12:35 11. Multiprocessing 13:49 12. Multiprocessing race conditions 14:52 13. Shared memory in multiprocessing 15:24 14. collections 16:57 15. Encapsulation 18:21 16 & 17. Abstraction & abc 19:32 18. Inheritance 20:34 19. Polymorphism 21:21 20. Data model 22:24 21. Iterators 22:45 22. Generators 24:14 23. staticmethod & classmethod 25:14 24. Dependency injection 26:38 25. Parameterized testing 26:59 26. Fixtures for testing setup and teardown 27:50 27. Serialization & deserialization 28:39 28. getstate & setstate 29:29 29. heapq 31:25 30. Higher-order functions 32:18 31. filter 32:59 32. Advanced list comprehension 33:35 33. bytes 34:36 34. Bytecode and dis module 35:30 35. memoryview 36:37 36. metaclasses 37:58 37. Nesting & combining context managers 38:45 38. Custom context managers 39:26 39. weakref 40:00 40. del 40:06 41. WeakKeyDictionary & WeakValueDictionary 41:17 42. Optimizing memory with slots 42:14 43. memory_profiler 42:59 44. sys.getsizeof() 43:33 45. Advanced decorators 45:06 46. Dataclasses 46:49 47. Metaprogramming 47:18 48. functools 49:00 49. Advanced dataclass features 50:08 50. asyncio #saas #proptech #miamirealestate #miamirealtors #softwareengineer #softwareengineerjobs #selftransformation #aiengineering #aiengineer #mlengineer #machinelearningwithpython #langchain #langgraph #rag #vectordatabase #vectordb #python #seniorpython #advancedpython Key Highlights & Overview: Understanding <strong>Advanced Topics In Python Programming</strong> is essential for modern technical workflows and software skills. Explore curated video courses, expert walkthroughs, and detailed lesson notes today on <strong>TutorTube</strong>.