How can I improve the performance of my PyPy application?
To enhance PyPy performance, consider optimizing your code by using built-in data types, avoiding global variables, and leveraging JIT compilation.
What specific coding practices should I avoid?
Avoid using excessive dynamic typing, global variables, and complex data structures that can hinder JIT optimization.
Are there any tools to help analyze performance?
Yes, you can use tools like PyPy's built-in py-spy
or cProfile
to analyze performance bottlenecks in your application.
How does JIT compilation work in PyPy?
JIT compilation in PyPy translates hot code paths into machine code at runtime, which significantly speeds up execution.
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