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Python Foundations Interactive Graph Curriculum

Python Developer

A master curriculum from foundational syntax, memory references, and object-oriented design to CPython internals, async architectures, and high-performance AI tooling.

5 Phases
13 Topics
~102h Total Time
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Recommended Next Step Beginner

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Curriculum Start
01 Phase 01 0/3 completed

Phase 1: Environment Setup & Core Fundamentals

Setting up your development environment and mastering Python variables, control structures, and functional decomposition.

Modern Python Environment & Tooling
Variables, Data Types & Type Annotations
Control Flow, Loops & Structural Pattern Matching
02 Phase 02 0/2 completed

Phase 2: Data Structures & Algorithmic Foundations

Core collection types, hash maps, complexity analysis, and the standard collections library.

Core Collections (Lists, Tuples, Dictionaries, Sets)
Specialized Collections & Itertools
03 Phase 03 0/3 completed

Phase 3: Object-Oriented Programming & Metaprogramming

Class architectures, dunder protocols, inheritance hierarchies, dataclasses, and custom decorators.

Object-Oriented Architecture & Dunder Methods
Decorators, Closures & Functional Primitives
Dataclasses, Pydantic & Data Validation
04 Phase 04 0/3 completed

Phase 4: CPython Internals & Memory Architecture

Understanding how Python executes code under the hood — memory allocation, reference counting, and the GIL.

PyObject Structure & Memory Management
Cyclic Garbage Collection & Weak References
Concurrency: Threading, Multiprocessing & Asyncio
05 Phase 05 0/2 completed

Phase 5: High-Performance Python & AI Systems

Connecting Python to modern AI backends, C-extensions, Cython, and high-throughput production serving.

High-Performance Numerical Computing with NumPy C-Arrays
High-Throughput APIs with FastAPI & vLLM Serving
Beginner 45 min

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