Links and renumbering

Notes/06_Generators/03_Producers_consumers.md

@@ -101,7 +101,7 @@ You will notice that data incrementally flows through the different functions.
 For this exercise the `stocksim.py` program should still be running in the background. 
 You’re going to use the `follow()` function you wrote in the previous exercise.
 
-### (a) Setting up a simple pipeline
+### Exercise 6.8: Setting up a simple pipeline
 
 Let's see the pipelining idea in action.  Write the following
 function:
@@ -132,7 +132,7 @@ to it as an argument.  Now, try this:
 It might take awhile for output to appear, but eventually you
 should see some lines containing data for IBM.  
 
-### (b) Setting up a more complex pipeline
+### Exercise 6.9: Setting up a more complex pipeline
 
 Take the pipelining idea a few steps further by performing
 more actions.
@@ -156,7 +156,7 @@ Well, that's interesting.  What you're seeing here is that the output of the
 `follow()` function has been piped into the `csv.reader()` function and we're
 now getting a sequence of split rows.   
 
-### (c) Making more pipeline components
+### Exercise 6.10: Making more pipeline components
 
 Let's extend the whole idea into a larger pipeline.  In a separate file `ticker.py`,
 start by creating a function that reads a CSV file as you did above:
@@ -237,7 +237,7 @@ Run your program again.  You should now a stream of dictionaries like this:
 ...
 ```
 
-### (d) Filtering data
+### Exercise 6.11: Filtering data
 
 Write a function that filters data.  For example:
 
@@ -262,7 +262,7 @@ for row in rows:
     print(row)
 ```
 
-### (e) Putting it all together
+### Exercise 6.12: Putting it all together
 
 In the `ticker.py` program, write a function `ticker(portfile, logfile, fmt)`
 that creates a real-time stock ticker from a given portfolio, logfile,
@@ -296,6 +296,6 @@ pipelines.  In addition, you can create functions that package a
 series of pipeline stages into a single function call (for example,
 the `parse_stock_data()` function).
 
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