How to make code thread-safe?
Avoid shared mutable state, use mutex/atomic, design ownership clearly, and avoid data races.
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Data structures, algorithms, decorators, and Django/FastAPI basics.
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Avoid shared mutable state, use mutex/atomic, design ownership clearly, and avoid data races.
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Python is an interpreted high-level language used for web, automation, data, AI, scripting, and backend services.
List is mutable. Tuple is immutable. Tuples are useful for fixed data and can be hashable if all elements are hashable.
Decorators wrap functions/classes to add behavior without changing original code, used for logging, auth, caching.
Note: You might also find it helpful to explore the Brightness Slider or discover the Invisible Notepad.
Generator yields items lazily and saves memory. List stores all items immediately.
Global Interpreter Lock allows only one thread to execute Python bytecode at a time in CPython, affecting CPU-bound threads.