Udemy - Unlock the Secrets of the Python Programming Language

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Udemy - Unlock the Secrets of the Python Programming Language (Size: 3.3 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ~Get Your Files Here !
  1-Python’s Origin Story and Design Philosophy
  1-The Birth and Philosophy of Python.html 2.6 KB
  10-Implementations, performance trade-offs, and the GIL.mp4 48.5 MB
  10-Performance Engineering and Alternative Runtimes
  1-Principles, Pitfalls, and Tools in Python Performance Measurement.html 3.3 KB
  2-Inside CPython The Runtime Architecture
  1-Inside CPython – From Source Code to Execution.html 3 KB
  10-The C API, extension modules, and concurrency impacts.mp4 49 MB
  2-CPython a high-level map.mp4 29.1 MB
  3-From Source to Bytecode Parsing, AST, and Compilation
  1-Python’s Compilation Pipeline – From Tokens to Symbol Tables.html 3.2 KB
  10-Mapping code to source line-number tables and traceability.mp4 44.8 MB
  2-Lexing and tokenization mechanics.mp4 37.8 MB
  3-The PEG parser and concrete parse trees.mp4 31.7 MB
  4-Building the AST from the parse tree.mp4 31.7 MB
  4-Executing Python Frames, Opcodes, and the Evaluation Loop
  1-Python’s Execution Model – Frames, Evaluation Loop, Stack Operations, and Except.html 2.5 KB
  10-Fast Paths, Deoptimization, and Performance Trade-offs.mp4 21.9 MB
  2-Frame Anatomy and Execution State.mp4 36.3 MB
  3-The Evaluation Loop and Opcode Dispatch.mp4 32.8 MB
  4-Stack Ops and Local Access Patterns.mp4 48.7 MB
  5-Exception Handling, Unwinding, and Tracebacks.mp4 39.6 MB
  5-The Python Data Model Objects, Types, and Attribute Access
  1-Understanding Python’s Object Model and Attribute Access.html 3.4 KB
  2-PyObject layout and the object header.mp4 25.5 MB
  3-PyTypeObject and type slots.mp4 26.1 MB
  4-Attribute lookup mechanics and resolution order.mp4 37.3 MB
  5-Descriptors and the binding protocol.mp4 39.1 MB
  6-Memory Management and Garbage Collection in Python
  1-Memory Management in CPython – Reference Counting, Garbage Collection.html 2.5 KB
  2-Reference counting fundamentals.mp4 38 MB
  3-Cycle detection and the generational collector.mp4 28.7 MB
  4-pymalloc internals arenas, pools, and freelists.mp4 42.5 MB
  5-Large allocations and the raw allocator path.mp4 36.5 MB
  6-Weak references and simple lifecycles.mp4 42.2 MB
  7-Concurrency, Parallelism, and Async IO Internals
  1-Concurrency in Python — GIL, Threads, Extensions, and Multiprocessing.html 2.8 KB
  10-Thread async interoperability and practical boundaries.mp4 37.4 MB
  2-The Global Interpreter Lock — intent and invariants.mp4 27 MB
  3-Python threads and the runtime scheduling story.mp4 62.4 MB
  4-C extensions, the C‑API boundary, and thread cooperation.mp4 58.6 MB
  5-Process-based parallelism with multiprocessing.mp4 43.3 MB
  6-Subinterpreters and the path toward GIL-free designs (PEP 703 context).mp4 40.3 MB
  7-The asyncio event loop and IO multiplexing fundamentals.mp4 32.5 MB
  8-Coroutines, awaitables, Futures, and Task internals.mp4 30.3 MB
  8-Imports, Modules, and Packaging Under the Hood
  1-Demystifying Python’s Import System.html 2.9 KB
  10-Virtual environments, site-packages, and sys.path wiring.mp4 34.1 MB
  2-From import name to module object.mp4 48.3 MB
  3-Finders and loaders the import protocol.mp4 49.5 MB
  4-ModuleSpec and the creationexecution sequence.mp4 46.1 MB
  5-Bytecode caches and .pyc mechanics.mp4 49.3 MB
  6-Meta path, path hooks, and extending import behavior.mp4 33.3 MB
  7-Namespace packages and package resolution rules.mp4 54.9 MB
  8-Importing from archives zipimport and zipapps.mp4 33.2 MB
  9-Extending and Embedding Python C API, ABI, and Interop
  1-Unlocking CPython’s C API – From PyObject to Vectorcall.html 3 KB
  10-Embedding Python in host applications.mp4 32.5 MB
  2-The CPython C API and PyObject fundamentals.mp4 58.2 MB
  3-Module and type creation lifecycle in C.mp4 46.1 MB
  4-Calling conventions and vectorcall for fast calls.mp4 60.5 MB
  5-The buffer protocol and zero-copy data sharing.mp4 63.7 MB
  6-Releasing the GIL and safe concurrency in extensions.mp4 41.5 MB
  7-Error handling, reference pitfalls, and crash prevention.mp4 26.2 MB
  8-Interop layers compared ctypes, cffi, Cython, and PyO3.mp4 40.7 MB
  9-HPy a modern API and alternative ABI model.mp4 26.7 MB
  9-Packaging build standards and how installs shape imports (PEP 517518621).mp4 47 MB
  9-Async IO primitives transports, protocols, streams, and backpressure.mp4 27.4 MB
  7-Finalizers, __del__, and the dangers of resurrection.mp4 40.2 MB
  8-Fragmentation, allocation patterns, and performance impact.mp4 54.7 MB
  9-Observability and tuning with built-ins (gc, tracemalloc).mp4 29.2 MB
  6-__getattribute__ versus __getattr__ and custom access hooks.mp4 40 MB
  7-Inheritance, MRO, and metaclasses.mp4 36.9 MB
  8-__slots__, instance layout, and trade-offs.mp4 72.9 MB
  9-Protocol hooks iteration, context managers, and numericcontainer behavior.mp4 39.5 MB
  6-Tracing, Profiling, and Debug Hooks.mp4 40.4 MB
  7-Generators, Coroutines, and Suspended Frames.mp4 44.5 MB
  8-Inline Caches and Runtime Specialization.mp4 31.2 MB
  9-Adaptive Specialization and 3.11+ Execution Improvements.mp4 46.7 MB
  5-Symbol tables and name binding.mp4 35.2 MB
  6-Scopes, closures, and the anatomy of cells.mp4 36.1 MB
  7-Constants, interning, and constant folding.mp4 54.1 MB
  8-Code objects fields that matter.mp4 40.9 MB
  9-Emitting bytecode and instruction layout.mp4 39.9 MB
  3-Lexing and parsing from source text to parse tree.mp4 38.5 MB
  4-AST construction and compilation phases.mp4 26.2 MB
  5-Bytecode and the CPython virtual machine.mp4 41 MB
  6-The object model PyObject, types, and attribute lookup.mp4 33.7 MB
  7-Memory allocation arenas, pools, and pymalloc.mp4 29.6 MB
  8-Garbage collection and cyclic detection.mp4 30.4 MB
  9-The import system and module loading lifecycle.mp4 47.3 MB
  2-Measuring performance principles and common pitfalls.mp4 54.6 MB
  3-Profiling tools and what they actually tell you.mp4 53.5 MB
  4-Microbenchmarks vs real workloads — interpreting opcode‑level effects.mp4 67.2 MB
  5-Interpreter optimizations that matter (inline caches, specializing bytecode).mp4 65.3 MB
  6-Algorithmic and data‑layout wins over micro‑optimizations.mp4 3.5 MB
  2-Guido van Rossum and the birth of Python.mp4 23.2 MB
  3-Early language choices and growing pains.mp4 32 MB
  4-The Zen of Python and core design principles.mp4 56 MB
  5-Batteries included the standard library philosophy.mp4 41.8 MB
  6-The PEP process and community governance.mp4 55.5 MB
  7-The Python 2 → 3 transition rationale and consequences.mp4 21.5 MB
  8-Typing, static checks, and gradual typing.mp4 19.8 MB
  9-Modern syntax inflections pattern matching and beyond.mp4 45.9 MB

Description


Unlock the Secrets of the Python Programming Language

https://WebToolTip.com

Published 12/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 7h 20m | Size: 3.3 GB

The Theory Course That Sets You Apart

What you'll learn
Why Python was created and its core philosophy
The meaning and impact of the Zen of Python
How Python’s design choices affect your code
The story behind Python’s “batteries included” library
How Python evolves through the PEP process
What happens inside the Python interpreter
How memory management and garbage collection work
The role and impact of the Global Interpreter Lock (GIL)
Why Python 2 and 3 are different—and why it matters
The rationale for features like type hints and pattern matching
How Python’s import system and modules really work
The trade-offs behind Python’s performance and extensibility
How alternative runtimes like PyPy and MicroPython differ
How theory shapes real-world Python development

Requirements
No coding required—this is a theory course
General interest in programming or software design
Curiosity and willingness to engage with new ideas

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