#!/usr/bin/env python
# coding: utf-8

# > This is one of the 100 recipes of the [IPython Cookbook](http://ipython-books.github.io/), the definitive guide to high-performance scientific computing and data science in Python.
# 

# # 4.1. Evaluating the time taken by a statement in IPython

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n = 100000


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get_ipython().run_line_magic('timeit', 'sum([1. / i**2 for i in range(1, n)])')


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get_ipython().run_cell_magic('timeit', 's = 0.', 'for i in range(1, n):\n    s += 1. / i**2\n')


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import numpy as np


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get_ipython().run_line_magic('timeit', 'np.sum(1. / np.arange(1., n) ** 2)')


# > You'll find all the explanations, figures, references, and much more in the book (to be released later this summer).
# 
# > [IPython Cookbook](http://ipython-books.github.io/), by [Cyrille Rossant](http://cyrille.rossant.net), Packt Publishing, 2014 (500 pages).