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Complete Outline

Part 1: Fundamentals (4 guides - COMPLETE)

01-Fundamentals

  • Type System & Annotations.md - Dynamic typing, type hints, runtime introspection
  • Data Structures Essentials.md - Lists, dicts, sets, tuples for ML
  • Iterator & Generator Protocol.md - Lazy evaluation, DataLoaders
  • Context Managers & Resource Management.md - GPU memory, file handling

Part 2: Object-Oriented Patterns (5 guides - 2 complete, 3 planned)

02-Object-Oriented Patterns

  • Classes & Inheritance.md - Module hierarchies, mixins, MRO
  • Decorators.md - @property, @staticmethod, custom decorators
  • [] Descriptors & Properties.md - Lazy loading, parameter binding
  • [] Metaclasses.md - Framework magic, model registration
  • [] Magic Methods.md - __init__, __call__, __getitem__, operators

Planned Content:

  • Descriptor protocol for lazy loading (HuggingFace patterns)
  • Property caching and invalidation
  • Using descriptors in custom layers
  • Metaclasses for tensor creation
  • Custom metaclasses for framework registration
  • __call__ for model inference
  • __getitem__ for batch access
  • Arithmetic operators (+, -, *, @) overloading
  • __repr__ and __str__ for debugging

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Part 3: Functional Programming (5 guides)

03-Functional Programming

  • [] First-class Functions.md - Functions as values, higher-order functions
  • [] Closures & Scope.md - Captured state, functional composition
  • [] Lambda Functions & Partial Application.md - Inline transformations
  • [] Comprehensions.md - List, dict, set, generator expressions
  • [] Advanced Decorators.md - Functional wrapping patterns

Planned Content:

  • Map, filter, reduce patterns
  • Function composition and currying
  • Partial application for callbacks
  • List/dict/set comprehensions performance
  • Generator expressions for memory efficiency
  • Comprehensions with conditions
  • Decorator factories and stacking
  • Functional composition libraries

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Part 4: C Extensions & FFI (5 guides)

04-C Extensions & FFI

  • [] ctypes for FFI.md - Direct C library calls
  • [] Python C API.md - CPython internals, extending with C
  • [] PyBind11.md - Modern C++/Python bindings
  • [] cffi & SWIG.md - Alternative FFI approaches
  • [] Building Custom CUDA Kernels.md - GPU acceleration

Planned Content:

  • ctypes function signatures and data types
  • Calling LAPACK/BLAS from Python
  • Python C API reference counting
  • Building C extensions from scratch
  • PyBind11 class bindings
  • PyTorch CUDA extension compilation
  • Custom kernel implementation patterns
  • Performance characteristics of FFI

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Part 5: Memory & Performance (6 guides)

05-Memory & Performance

  • [] Reference Counting & Garbage Collection.md - Memory semantics
  • [] Memory Layout & Cache Efficiency.md - Contiguous arrays
  • [] Global Interpreter Lock (GIL).md - Threading limitations
  • [] Multithreading vs Multiprocessing.md - Concurrency patterns
  • [] Async/Await.md - Asynchronous I/O
  • [] Memory Profiling & Optimization.md - Bottleneck identification

Planned Content:

  • Reference counting cycle detection
  • WeakRef usage in frameworks
  • Memory layout and cache lines
  • NUMA-aware memory placement
  • GIL contention and release patterns
  • Thread pools for I/O
  • Process pools for CPU-bound
  • Async inference servers
  • Memory profilers: tracemalloc, memory_profiler
  • Memory allocation patterns in PyTorch

Part 6: Dynamic Features (5 guides)

06-Dynamic Features

  • [] getattr, setattr, delattr.md - Dynamic attribute access
  • [] __getattr__ & __setattr__.md - Lazy loading, hooking
  • [] Dynamic Module Composition.md - Building at runtime
  • [] Monkey Patching.md - Debugging and profiling
  • [] Import System & Dynamic Imports.md - Plugin systems

Planned Content:

  • Attribute access patterns
  • Lazy loading for large models
  • Parameter hooking for profiling
  • HuggingFace pretrained model loading
  • Runtime model construction
  • Feature flags and conditional layers
  • Monkey patching for testing
  • sys.modules manipulation
  • importlib for dynamic imports
  • Plugin architectures

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Part 7: Advanced Typing (5 guides)

07-Advanced Typing

  • [] Type Hints & Annotations.md - Function signatures, annotations
  • [] Protocol Types.md - Structural subtyping
  • [] Generic Types & TypeVar.md - Parameterized types
  • [] Runtime Type Checking.md - Validation
  • [] Pydantic & Data Validation.md - Config management

Planned Content:

  • Type hint syntax and semantics
  • Overload for multiple signatures
  • TypeGuard and isinstance narrowing
  • Protocol definition and checking
  • Contravariance and covariance
  • Generic classes and methods
  • TypeVar constraints and bounds
  • Runtime validators
  • Pydantic models for config
  • Serialization/deserialization

Part 8: Module System (5 guides)

08-Module System

  • [] Import Mechanisms.md - import vs from, relative imports
  • [] Module Caching & Reloading.md - sys.modules, importlib
  • [] Package Structures.md - __init__.py, namespace packages
  • [] Virtual Environments.md - Isolation, reproducibility
  • [] Dependency Management.md - pip, Poetry, Conda

Planned Content:

  • Import system architecture
  • Module initialization order
  • Import hooks for custom loading
  • Circular import resolution
  • Module reloading and gotchas
  • Namespace packages for plugins
  • Package configuration
  • Virtual environment management
  • Dependency resolution
  • Lock files and reproducibility

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Part 9: Bytecode & Execution (5 guides)

09-Bytecode & Execution

  • [] Python Bytecode.md - Compilation, disassembly
  • [] CPython Internals.md - Frame objects, code objects
  • [] JIT Compilation.md - PyPy, Numba, Mojo
  • [] Profiling & Optimization.md - cProfile, line_profiler
  • [] Tracing & Debugging.md - sys.settrace, debuggers

Planned Content:

  • Bytecode instructions
  • dis module for disassembly
  • Code object structure
  • Frame objects and locals/globals
  • Stack frames and tracebacks
  • PyPy JIT optimization
  • Numba for numerical code
  • Mojo for ML acceleration
  • cProfile for function profiling
  • line_profiler for line-by-line
  • Memory profiler for allocations
  • Flamegraph visualization
  • Breakpoint debugging

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Part 10: ML-Specific Patterns (6 guides)

10-ML-Specific Patterns

  • [] Tensor Abstractions.md - NumPy, PyTorch, JAX protocols
  • [] Autograd Implementation.md - Forward/backward passes
  • [] Distributed Training.md - DataParallel, DistributedDataParallel
  • [] Model Serialization.md - pickle, torch.save, safetensors
  • [] Custom Operators.md - CUDA kernels, backward passes
  • [] Inference Optimization Patterns.md - Batching, caching

Planned Content:

  • NumPy array protocol
  • PyTorch tensor creation and conversion
  • JAX array handling
  • Computation graphs
  • Forward/backward implementation
  • Custom autograd functions
  • DataParallel mechanics
  • DistributedDataParallel setup
  • Gradient accumulation across devices
  • Model checkpointing
  • State dict structure
  • Pickle vs SafeTensors
  • CUDA kernel compilation
  • Backward pass implementation
  • Batch processing patterns
  • KV cache management
  • Inference serving

Summary Statistics

Section Guides Status
Fundamentals 4 Complete
OOP Patterns 5 40% (2/5)
Functional 5 Planned
C Extensions 5 Planned
Memory & Performance 6 Planned
Dynamic Features 5 Planned
Advanced Typing 5 Planned
Module System 5 Planned
Bytecode & Execution 5 Planned
ML-Specific 6 Planned
TOTAL 52 19% (2/52)

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Priority Order for Expansion

  1. High Priority (Core to understanding PyTorch/JAX)

  2. Descriptors & Properties

  3. Metaclasses
  4. Magic Methods
  5. Memory & Performance (all)
  6. Autograd Implementation

  7. Custom Operators

  8. Medium Priority (Important but less critical)

  9. Functional Programming (all)

  10. Advanced Typing (all)

  11. C Extensions & FFI (all except PyBind11)

  12. Lower Priority (Useful but less core)

  13. Bytecode & Execution

  14. Module System (except dependencies)
  15. Dynamic Features (except imports)

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  • Readme - LLM Optimization techniques (55 guides)
  • Readme - Agent design and frameworks

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Last Updated: 2026-08-08