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Why is Python still popular despite its slower performance?
Python is incredibly easy to read and write, which makes it perfect for rapid prototyping and development.
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4 Replies
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The vast library ecosystem for Python, particularly for data science, web development, and automation, makes it a go-to language despite its speed.
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Python’s performance limitations can be mitigated using libraries like Cython or moving bottleneck tasks to C/C++.
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Python’s simplicity and versatility make it a top choice for developers who prioritize developer time over runtime performance.
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In most cases, the speed difference isn’t noticeable for I/O-bound tasks like web development or automation scripts.
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