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Yes, it's absolutely still beneficial to learn Python, even with the existence of PyPy—and here's why:
PyPy is an alternative implementation of Python (like CPython, which is the default). It focuses on speed and performance using Just-In-Time (JIT) compilation. However, it still uses the same Python syntax and core language, so learning standard Python is essential before you can even use PyPy effectively.
Most tutorials, libraries, tools, and frameworks are built and tested with CPython. So, learning standard Python helps you understand how the language works, and once you're proficient, you can decide if using PyPy brings any performance advantages to your specific projects.
Python remains one of the most widely used programming languages in data science, web development, automation, AI/ML, and more. Knowledge of Python is valuable across industries regardless of which interpreter (CPython or PyPy) is used.
Not all third-party Python libraries (especially ones with C extensions like NumPy) are fully compatible with PyPy. So, having a strong grip on standard Python helps you navigate these compatibility scenarios.
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