Performance Tips in Python
Python is easy to use but can be slow for some tasks. Here are some tips to improve performance:
Use Built-in Functions
Built-in functions like map
, filter
, and comprehensions are faster than manual loops.
Avoid Unnecessary Computation
Cache results, use memoization, and avoid repeated work.
Use Efficient Data Structures
Choose the right data structure for the job (e.g., set
for membership tests).
Profile Your Code
Use cProfile
or timeit
to find bottlenecks.
Use Libraries
numpy
for numerical workpandas
for data analysismultiprocessing
for parallelism