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--- a/4-SoftwareEngineering/README.rst
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@@ -1,54 +1,54 @@
-====================================
 Building a Library of Code you Trust
 ====================================
 
-Suppose we're going to be dealing a lot with these animal count files,
-and doing many different kinds of analysis with them. In the introduction
-to Python lesson we wrote a function that reads these files but it's stuck
-off in an IPython notebook. We could copy and paste it into a new notebook
-every time we want to use it but that gets tedious and makes it difficult to
-add features to the function. The ideal solution would be to keep the
-function in one spot and use it over and over again from many different places.
-Python modules to the rescue!
+Suppose we’re going to be dealing a lot with these animal count files,
+and doing many different kinds of analysis with them. In the
+introduction to Python lesson we wrote a function that reads these files
+but it’s stuck off in an IPython notebook. We could copy and paste it
+into a new notebook every time we want to use it but that gets tedious
+and makes it difficult to add features to the function. The ideal
+solution would be to keep the function in one spot and use it over and
+over again from many different places. Python modules to the rescue!
 
-We're going to move beyond the IPython notebook. Most Python code is
-stored in `.py` files and then used in other `.py` files where it has been
-pulled in using an `import` statement. Today we'll show you how to do that.
+We’re going to move beyond the IPython notebook. Most Python code is
+stored in \`.py\` files and then used in other \`.py\` files where it
+has been pulled in using an \`import\` statement. Today we’ll show you
+how to do that.
 
-=========
 Exercises
 =========
 
 Exercise 1
 ----------
 
-Make a new text file called `animals.py`. Copy the file reading
-function from yesterday's IPython notebook into the file and modify it so
-that it returns the columns of the file as lists (instead of printing
+Make a new text file called \`animals.py\`. Copy the file reading
+function from yesterday’s IPython notebook into the file and modify it
+so that it returns the columns of the file as lists (instead of printing
 certain lines).
 
 Exercise 2
 ----------
 
-We're going to make a function to calculate the mean of all the
-values in a list, but we're going to write the tests for it first.
-Make a new text file called `test_animals.py`. Make a function called
-`test_mean` that runs your theoretical mean function through several tests.
+We’re going to make a function to calculate the mean of all the values
+in a list, but we’re going to write the tests for it first. Make a new
+text file called \`test\_animals.py\`. Make a function called
+\`test\_mean\` that runs your theoretical mean function through several
+tests.
 
 Exercise 3
 ----------
 
-Write the mean function in `animals.py` and verify that it passes
-your tests.
+Write the mean function in \`animals.py\` and verify that it passes your
+tests.
 
 Exercise 4
 ----------
 
-Write tests for a function that will take a file name and
-animal name as arguments, and return the average number of animals per sighting.
+Write tests for a function that will take a file name and animal name as
+arguments, and return the average number of animals per sighting.
 
 Exercise 5
 ----------
 
-Write a function that takes a file name and animal name and returns
-the average number of animals per sighting. Make sure it passes your tests.
+Write a function that takes a file name and animal name and returns the
+average number of animals per sighting. Make sure it passes your tests.