How do you improve performance of large Python applications?

Question

Anubhav Kumar · Answer

Answer:
Use 
NumPy, Pandas, or Cython for heavy computations.Use multiprocessing or asyncio for parallelism.Cache results via functools.lru_cache.Use PyPy or Just-In-Time (JIT) compilers.Profile code using cProfile or line_profiler.
Example:
from functools import lru_cache
@lru_cache(maxsize=None)
def fibonacci(n):
    if n andlt; 2:
        return n
    return fibonacci(n-1) + fibonacci(n-2)

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How do you improve performance of large Python applications?

Anubhav Kumar

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