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| author | Raymond Hettinger <python@rcn.com> | 2016-11-21 23:13:18 (GMT) |
|---|---|---|
| committer | Raymond Hettinger <python@rcn.com> | 2016-11-21 23:13:18 (GMT) |
| commit | 7f946195558b3681b81707c52b721d067373acee (patch) | |
| tree | ad6636b87a7879942cb8bd9129d6688bc3bc7538 /Doc | |
| parent | 5bd5b9d81322d2cb6edd5f3804a347f8b2e65a15 (diff) | |
| download | cpython-7f946195558b3681b81707c52b721d067373acee.zip cpython-7f946195558b3681b81707c52b721d067373acee.tar.gz cpython-7f946195558b3681b81707c52b721d067373acee.tar.bz2 | |
Fix grammar
Diffstat (limited to 'Doc')
| -rw-r--r-- | Doc/library/random.rst | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/Doc/library/random.rst b/Doc/library/random.rst index b0f8194..115ef81 100644 --- a/Doc/library/random.rst +++ b/Doc/library/random.rst @@ -465,11 +465,11 @@ Simulation of arrival times and service deliveries in a single server queue:: <http://nbviewer.jupyter.org/url/norvig.com/ipython/Economics.ipynb>`_ a simulation of a marketplace by `Peter Norvig <http://norvig.com/bio.html>`_ that shows effective - use of many the tools and distributions provided by this module + use of many of the tools and distributions provided by this module (gauss, uniform, sample, betavariate, choice, triangular, and randrange). `A Concrete Introduction to Probability (using Python) <http://nbviewer.jupyter.org/url/norvig.com/ipython/Probability.ipynb>`_ a tutorial by `Peter Norvig <http://norvig.com/bio.html>`_ covering the basics of probability theory, how to write simulations, and - performing data analysis using Python. + how to perform data analysis using Python. |