What are the performance benefits of using PyPy over CPython?
PyPy is often faster than CPython due to its Just-In-Time (JIT) compilation, which optimizes code execution.
Can you explain how JIT compilation works in PyPy?
JIT compilation translates Python code into machine code at runtime, allowing for optimizations based on actual usage patterns.
Are there any specific benchmarks comparing PyPy and CPython?
Yes, benchmarks show that PyPy can be significantly faster for long-running applications, especially those with heavy computations.
What are the limitations of using PyPy?
Some limitations include compatibility issues with certain C extensions and potentially higher memory usage in some cases.
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