How can I profile functional programs effectively?
An example of an AI chatbot conversation about profiling functional programs for performance optimization.
How can I profile functional programs effectively?
Profiling functional programs can be done using tools like GHC's profiling options for Haskell or similar tools for other languages.
What specific metrics should I look for when profiling?
You should focus on metrics like execution time, memory usage, and function call frequency to identify bottlenecks.
Are there any common pitfalls in profiling functional programs?
Yes, common pitfalls include not accounting for lazy evaluation and overlooking tail recursion optimizations.
Can you recommend any tools for profiling in Python?
For Python, you can use cProfile, Py-Spy, or line_profiler to analyze performance effectively.
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