In Python, process-based parallelism means running different parts of your program at the same time in separate processes. Each process runs independently with its own memory, like workers in different rooms handling tasks without interfering with one another. Python’s built-in multiprocessing module makes it simple to create and manage these separate processes. This lets you […]
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Knowing how many CPU cores your computer has can be very helpful. It lets your programs use all the available power to run tasks faster and smarter. For example, if you want to run several tasks at the same time, it’s good to know how many cores you can use. Luckily, Python makes this easy.
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Type conversion overloading in Python means making your custom classes work smoothly with built-in conversion functions like int(), float(), bool(), and str(). By defining special methods, you tell Python how to convert your objects to these basic types whenever needed. This ability makes your objects behave more like built-in types, so you can use them
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In Python, container methods let your custom classes behave like built-in containers such as lists, dictionaries, and sets. By overloading these special methods, your objects can support features like len(), in, indexing ([]), and iteration (for loops) in a natural and readable way. This makes your classes easier to work with, since they respond to
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Assignment operators like +=, -=, and *= are commonly used in Python to update a variable by applying an operation directly to it. These operators perform what’s called in-place operations, meaning they try to modify the object itself instead of creating a new one. Python gives you the power to customize how these assignment operators
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