> if you're considering different versions of an algorithm, test it in a tight loop using the time.clock() function. ...but if you are anyway experimenting wit

> if you're considering different versions of an algorithm, test it in a tight loop using the time.clock() function. ...but if you are anyway experimenting with your code in a Jupyter notebook, then you could just use %timeit [1] or %time [2] magics to measure execution times and benchmarks without writing any additional code. [1] https://ipython.org/ipython-doc/3/interactive/magics.html#magic-timeit https://ipython.org/ipython-doc/3/interactive/magics.html#ma... [2] https://ipython.org/ipython-doc/3/interactive/magics.html#magic-time https://ipython.org/ipython-doc/3/interactive/magics.html#ma...