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Notes/Contents.md

@@ -1,36 +1,5 @@
 # Practical Python Programming
 
-When I first learned Python nearly 25 years ago, I was immediately
-struck by the ease at which I could apply it to all sorts of messy
-work projects.  Fast-forward a decade and I found myself teaching
-others the same joy.  The result of that teaching is this
-course--material that has been actively taught to more than 400
-in-person groups since 2007.  Traders, systems admins, astronomers,
-NASA rocket scientists, and even a few software engineers--they've all
-taken this course.   Now, the course is available for free.  Enjoy! 
---David Beazley (http://www.dabeaz.com)
-
-## Prerequisites and Target Audience
-
-The material you see here is the core of an instructor-led Python
-training course.  It is typically taught in-person over the span of
-three or four days--requiring approximately 25-30 hours of work. This
-includes the completion of approximately 130 hands on coding exercises.
-
-The target audience is scientists, engineers, and programmers who
-already have experience in at least one other programming language. No
-prior knowledge of Python is required, but knowledge of common
-programming topics is assumed.
-
-The goal of the course is to cover foundational aspects of Python
-programming with an emphasis on script writing, data manipulation, and
-program organization. The course does NOT focus on Python tooling,
-IDEs, or third-party packages (i.e., it's not focused on using data
-science libraries in Jupyter Notebooks or on deploying web apps).
-
-To complete this course, you simply need a basic installation of
-Python 3.6 or newer and time--especially the latter.
-
 ## Table of Contents
 
 * [0. Course Setup (READ FIRST!)](00_Setup)
@@ -44,20 +13,7 @@ Python 3.6 or newer and time--especially the latter.
 * [8. Testing, Logging, and Debugging](08_Testing_debugging/00_Overview)
 * [9. Packages](09_Packages/00_Overview)
 
-## Acknowledgements
+[Home](..)
-
-Llorenç Muntaner was instrumental in converting the course content from
-Apple Keynote to the online structure that you see here.
-
-Various instructors have presented this course at one time or another
-over the last decade. This includes (in alphabetical order): Ned
-Batchelder, Juan Pablo Claude, Mark Fenner, Michael Foord, Matt
-Harrison, Raymond Hettinger, Daniel Klein, Travis Oliphant, James
-Powell, Michael Selik, Hugo Shi, Ian Stokes-Rees, Yarko Tymciurak,
-Bryan Van de ven, Peter Wang, and Mark Wiebe.
-
-I'd also like to thank the thousands of students who took this
-course and contributed to its success with their feedback and discussion.
 
 
 

README.md

@@ -16,7 +16,7 @@ taken this course.  Now, the course is available for all.  Enjoy!
 The material you see here is the core of an instructor-led Python
 training course.  It is typically taught in-person over the span of
 three or four days--requiring approximately 25-35 hours of work. This
-includes the completion of approximately 130 hands on coding exercises.
+includes the completion of approximately 130 hands-on coding exercises.
 
 The target audience is scientists, engineers, and programmers who
 already have experience in at least one other programming language. No
@@ -43,7 +43,8 @@ Python 3.6 or newer and time to work on it--especially the latter.
 
 This is not a course for absolute beginners on how to program a
 computer.  It is assumed that you already have programming experience
-in some other programming language or Python itself.
+in some other programming language or Python itself. You're not
+going to find cute stories about looping--or why you would want to do it.
 
 This is not a course that aims to cover everything there is to know
 about Python.  There is only so much material you can cover in 3-4 days
@@ -53,7 +54,7 @@ reason--it was once included and it made everyone's head explode.
 
 This is not a course that simply covers reference material, tricks, or
 recipes that you could just look up on [python.org](https://python.org),
-Google, or Stack Overflow. Yes, there is a certain amount of reference
+Google, or Stack Overflow. Yes, there is enough reference
 material to be functional, but the course is more focused on how to
 work with and think about Python coding.
 
@@ -62,7 +63,8 @@ maintain a one-million line Python program. I don't write programs
 like that and neither should you. Delete something already! 
 Python is a great language for personal productivity, prototyping ideas,
 and hacking cool things together. The course is about doing THAT in
-a way that's both practical and not too "hacky."
+a way that's both practical and not so "hacky" that you co-workers
+give you stink-eye when they look at your code. 
 
 ## Take me to the Course Already!