From 8d0def440ded7b9d5ee98500afd680fccc00d4a0 Mon Sep 17 00:00:00 2001 From: Greg Wilson Date: Wed, 31 Jul 2013 09:02:01 -0400 Subject: [PATCH] Fixing typos in material imported from THW W. Trevor King: I dropped everything from the original e19d4dd except for the lessons/thw-testing/tutorial.md modification. Conflicts: lessons/thw-git/local.md lessons/thw-git/remote.md lessons/thw-matplotlib/tutorial.md lessons/thw-numpy/tutorial.md lessons/thw-python/data-structures/data_structures.ipynb lessons/thw-python/data-structures/tutorial.md lessons/thw-python/flow-control/python_flow_control.ipynb lessons/thw-shell/tutorial.md --- lessons/thw-testing/tutorial.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/lessons/thw-testing/tutorial.md b/lessons/thw-testing/tutorial.md index 26dab3e..cc787a6 100644 --- a/lessons/thw-testing/tutorial.md +++ b/lessons/thw-testing/tutorial.md @@ -50,7 +50,7 @@ answers we are interested in, data we want, etc. *Uncertainty Quantification* is the process of asking, "Given that our algorithm may not be deterministic, was our execution within acceptable error bounds?" This is particularly important for anything which uses -random numbers, eg Monte Carlo methods. +random numbers, for example Monte Carlo methods. # Where are tests? @@ -512,7 +512,7 @@ def fib(n): # Quality Assurance Exercise -Can you think of other tests to make for the fibonacci function? I promise there +Can you think of other tests to make for the Fibonacci function? I promise there are at least two. Implement one new test in test_fib.py, run nosetests, and if it fails, implement -- 2.26.2