What are some optimization techniques for Python FFI?
There are several techniques to optimize Python FFI, such as minimizing data copying, using efficient data types, and leveraging C extensions.
Can you explain how minimizing data copying works?
Minimizing data copying involves reducing the number of times data is transferred between Python and C. This can be achieved by using pointers or references instead of copying data.
What about using efficient data types?
Using efficient data types means choosing the right C types that match your Python data structures closely, which can reduce conversion overhead.
Are there any specific libraries you recommend for FFI optimization?
Yes, libraries like cffi and ctypes are popular for FFI in Python. They provide tools to optimize performance when interfacing with C.
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