Hey everyone, Lars Sorensen here. In the fall of 2015 I
taught Python Methodologies for Data Science at the Graduate School of
New Brunswick at Rutgers University. That is a complicated name
for what was basically an intro to programming class. In the
first half of the class we went over the basics of imperative Python.
In the second half of the class we touched upon topics like
Computer Science features (sorting, searching, recursion), Object
Orientation and Data Structures.
Long story short, a buddy of mine wanted to learn Python on the
sly. I told him that most of my resources for class were in the
cloud and that he was welcome to them. I also had a good amount
of my students express an interest in having a resource page so they
could go back and look at their slides and videos after class was
over. Sometimes SAKAI sites die and they wanted one page where they
could come and see all of the resources as they were presented to
them in class. And so this page was born. This was the
class as it was in the Fall of 2015 when I first designed it.
If you are taking PMDS now and think you've just stumbled onto
a pot of gold, you have. But not for the reasons you think. I
change all my quizzes and do new videos every semester, so if you came
here to do a bit o cheatin then you're outta luck. On the other
hand, if you're here for extra work or to review resources before they
are released then have at it. The more time on task the more you
will learn and retain. Gobble it all up.
Nuff said. Hope you all enjoy.
Used page as a touchstone for the MS CS Python workshops, hence the
assignments at the bottom.
Using for Masters Python Workshops again ;-)