Arlon's CSUMB Blog

                                                       That's actually a pie chart out of AccountBlaster ,                                              but this is from Seaborn, from our class , plotting mass data with NumPy, Pandas, Seaborn, & MatPlotLib & a little color addition in The Gimp. T hese are some crazy powerful tools we are learning, on several fronts, going back over and reviewing statistics and probability which is essential for analysis, betting, all kinds of things, and the great mass-number crunching tools NumPy, Pandas, and the graphing plugins Seaborn, MatPlotLib and how to do all kinds of super powerful mass-number-crunching tricks with these tools that I would never know how to do without this class. I love the measles problem, first we generate 10,000 people, then 5% of them get measles, 5% of those test negative even with measles, and 5% of the no measles people falsely test positive for measles even though they don't have it. We simulate actual

  Algorithms was an amazing class, amazingly well taught. At first I thought it was silly, the way a lot of the lecturers discuss algorithms is as if they are somehow within it themselves. The lectures, exercises and quizzes combined had a way of gifting us the knowledge of an array of algorithms I mostly knew only vaguely about until now. The lectures were surprisingly well done, teaching the concepts in a way that can really be understood and walked away with. I heard at first strange seeming analogy verbiage such as "I like it" used as an analogy to a conditional being satisfied during an algorithm's steps, and silly as it seems, it is a really great way to understand the steps behind the algorithm. Take the quick sort lecture as an example, I think that is the one I am thinking of. Just think "I like it" if the conditional is satisfied, whichever one is greater than the other and it is a really good mental pneumonic, it just gets your brain flowing past whet