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Python Official Tutorial: Classes
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Introduces Python’s class system, inheritance, and dynamic typing—often the moment when developers realize how flexible and powerful Python’s OOP model is.
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Facts and Myths about Python Names and Values (Ned Batchelder)
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Explains Python’s object model, variable binding, and mutability. This post is a classic “aha!” reference for understanding how assignment and references work in Python.
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Python’s First-Class Functions (Real Python)
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Demonstrates that functions are first-class objects in Python, enabling powerful patterns like higher-order functions and decorators.
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Python Closures and Callbacks (Dan Bader)
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Explains closures, lexical scoping, and how Python supports callback functions—a key insight for functional programming in Python.
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Primer on Python Decorators (Real Python)
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A deep dive into decorators, showing how Python’s syntax and first-class functions combine for powerful, reusable code patterns.
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Python Data Model: Special Method Names
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Explains Python’s “dunder” methods (like __init__, __str__, __iter__), which unlock operator overloading and custom behavior—often an advanced “aha!” moment.
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Python Generators – A Complete Introduction (Real Python)
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Explains how generators and the yield statement enable lazy evaluation and efficient iteration over large or infinite data sets.
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Python Official Tutorial: Modules
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Introduces modules and packages, showing how Python’s import system enables code organization and reuse.
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Context Managers and the with Statement (Real Python)
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Explains how context managers and the with statement automate resource management, such as opening and closing files.
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Descriptor HowTo Guide (Python Docs)
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Describes Python’s descriptor protocol, which underlies properties, methods, and more—an advanced “aha!” for understanding Python internals.
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What is the Python Global Interpreter Lock (GIL)? (Stack Overflow)
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Clarifies the GIL, threading, and concurrency in Python—crucial for understanding Python’s multi-threading limitations and multiprocessing alternatives.
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Errors and Exceptions (Python Official Tutorial)
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Explains Python’s exception model, try/except blocks, and custom exceptions—key for writing robust Python code.
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