From: Greg Wilson <gvwilson@third-bit.com>
Date: Wed, 31 Jul 2013 13:02:01 +0000 (-0400)
Subject: Fixing typos in material imported from THW
X-Git-Url: http://git.tremily.us/?a=commitdiff_plain;h=d8a7f498fdcaf47a8dfc57964c05083376e15e40;p=swc-testing-nose.git

Fixing typos in material imported from THW

W. Trevor King: I dropped everything from the original e19d4dd except
for the python/testing/Readme.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
---

diff --git a/lessons/thw-testing/testing-orig.md b/lessons/thw-testing/testing-orig.md
index 8d53b87..b25a8a0 100644
--- a/lessons/thw-testing/testing-orig.md
+++ b/lessons/thw-testing/testing-orig.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