Video Welcome - Dr. Chuck

Hello and welcome to my class on Python data structures. This is the second class in our Python specialization. It covers chapters six through ten of the textbook. The previous class covered chapters one through five. This is the last class in the specialization that you can avoid installing Python. All along we’ve encouraged you to install Python. Do all your homework on your desktop or laptop, and then use our autograder to turn things in. But starting with the next class, not this class, but starting with the next class you’re going to have to install Python. Because the programs get more complex. We’re using advanced Python features that I can’t simulate in a browser. And so, I would say this is the time to go ahead and install Python. Especially if you want to go on beyond chapter ten in the book. So, if you are jumping into this class and you find yourself struggling, like whoa, I’m picking this up in the middle, go back and take the previous class. We just assume that you have mastered the previous class. One of my whole goals in design of this class, is for you not to try to rush through it, but to feel a mastery of it. And feel free to do the same problem over and over and over again, and hide the solution from yourself, until you realize, oh wait a sec. This is easy. Because frankly, up to this point and going forward, none of this should be very difficult. And you should really understand every single thing that’s going on in every one of the assignments. Especially in the first ten chapters of the book. Later the programs become a little more complex and even by the end of the book, in chapter 14 and 15. It takes me hours to write these applications. And so, but here in chapters one through ten, it doesn’t take me hours. It should take me, you know, five to ten minutes at the most. And it eventually should take you five to ten minutes at the most. So, welcome to the class. I look forward to seeing you and congratulations on getting this far if you made it through the first class