Python Developer
A master curriculum from foundational syntax, memory references, and object-oriented design to CPython internals, async architectures, and high-performance AI tooling.
Intelligent Agents & Problem Formulation
Phase 1: Environment Setup & Core Fundamentals
Setting up your development environment and mastering Python variables, control structures, and functional decomposition.
Phase 2: Data Structures & Algorithmic Foundations
Core collection types, hash maps, complexity analysis, and the standard collections library.
Phase 3: Object-Oriented Programming & Metaprogramming
Class architectures, dunder protocols, inheritance hierarchies, dataclasses, and custom decorators.
Phase 4: CPython Internals & Memory Architecture
Understanding how Python executes code under the hood — memory allocation, reference counting, and the GIL.
Phase 5: High-Performance Python & AI Systems
Connecting Python to modern AI backends, C-extensions, Cython, and high-throughput production serving.
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