Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
%time¶
Measue the execuation time of the code ONCE.
%timeit¶
Measure the execuation time of the code (accurately) by running it MULTIPLE TIMES and taking the average.
%prun | %%prun¶
-D: output the profiling results into a file
so that you can other tools (e.g., snakeviz) to visualize it.
Noticd that %prun and %%prun are based on cProfile or profile,
which are designed to provide an execution profile for a given program,
not for benchmarking purposes
(for that, there is time and timeit for reasonably accurate results).
This particularly applies to benchmarking Python code against C code:
the profilers introduce overhead for Python code,
but not for C-level functions,
and so the C code would seem faster than any Python one.
Overall,
%prun and %%prun might slow down your Python code up to 3 times.
%%snakeviz¶
pip3 install snakeviz%load_ext snakevizLine Profiler¶
Within your jupyter notebook, call: %load_ext line_profiler