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Hi, I'm Steve Oney,
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I'm the Assistant Professor here in the School of
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Information at the University of Michigan.
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So, I did some of the introductory programming classes in the School of Information,
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and I'm really excited to have you join us because I really think programming is
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going to increasingly be a fundamentally important literacy,
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and a way of dealing with the increasing amounts of
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data that we get and deal with in our everyday lives.
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In my private life, I play soccer.
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Like Professor Resnick, I'm an avid biker as well,
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and you'll be seeing me in courses one, two, and four.
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Most of my research deals with making programming tools more usable.
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In other words, making programming tools that are
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designed around the ways that people think,
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in the ways that we actually program as well.
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Hi. I'm Paul Resnick,
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I'm a Professor and Associate Dean for
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research at the University of Michigan School of Information.
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As Associate Dean, I don't get to teach that much,
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but I really enjoy teaching
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the material that I'll be teaching you in this specialization.
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I'm glad to have a chance to share it with you.
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You'll see me in courses one and two,
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almost all of course three and a little bit in course four.
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I'm a fan of nerdy pun humor,
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also known as dad jokes,
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and so I'll be sharing a few of those with you at the ends of some of the lessons.
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In my research, I'm probably best known for,
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what's now known as Recommender Systems.
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I first published this back in the early 90s.
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Things like, at Amazon where it says people who
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bought this book also bought these other books.
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More recently, I've been working on online communities,
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and then on educational technologies.
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In my personal life,
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I like to play tennis and ride a bike.
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I've ridden very slowly.
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I have a couple of the iconic climbs of the Tour de France,
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four years ago at Mont Ventoux,
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and a couple of years ago at the Col du Tourmalet in the Pyrenees.
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I don't travel nearly as much as Dr. Chuck,
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but I do look forward to trying to adapt his practice
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of holding live office hours in places when I do get to travel.
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So, maybe I'll get a chance to see you.
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See you in the lessons.
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Hi. My name is Jackie Cohen,
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and I'm a lecturer at the University of Michigan School of Information.
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I teach a lot of programming courses
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including courses a lot like the ones you'll see here,
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and I also build and design and support a lot of course resources.
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All of this means that I've seen a lot of different students,
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complete a lot of different programming projects,
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and what I'll be doing here is orienting you to the end of course projects,
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and giving you some hints and tips about what
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might be useful and exciting while working on them.
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I hope you enjoy them because I think they're really fun,
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and they'll give you a lot of tools for working with programming in your everyday life.
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Hi. I'm Chris Brooks,
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I'm faculty here at the University of Michigan.
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In this specialization, I'll be teaching the last course.
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In that course, you're going to take image manipulation libraries,
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and large image sets,
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and use Python to change it into useful information.
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My research focuses on educational technology,
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and I teach a lot of data science courses including some on this platform.
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I'm very interested in how learners like, you approach technology,
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interact with technology, and use it to enable your learning.
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I'm looking forward to seeing you in that last course.
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Hello. My name is Charles Severance,
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and you may have seen me before in the Python for
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Everybody specialization which is some of you took that,
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and then came to this class.
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I'm really enjoying what I'm doing in this class,
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and that I'm not actually,
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teaching any of the core material,
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but I'm doing what we call the way the programmer,
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and that is I get to play a little bit,
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and not actually teach you anything,
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but show you something cool,
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and that gave me a lot of freedom to show things that I consider fun.
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My research area, as some of you may know, is educational technology.
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The platform that you're using is something I'm very curious about,
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how we can improve it,
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how we can make it better.
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I have lots of hobbies,
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but my most recent hobby is racing,
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racing on road courses.
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So, if you look you might find a picture of me in a race car.
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Hi. I'm Lauren Murphy.
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I took the on-campus version of
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this course a couple of years ago and ended up working as instructional aide,
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and to help other students learn the material.
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I since return to help out with this course,
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building up the quizzes, and assessments and projects that you'll be doing.
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I'm very excited that you'll have the opportunity to learn the same material,
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and I hope that you have a good time.
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In this specialization for Python Three programming,
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you'll learn how to become a competent Python programmer,
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by learning the fundamentals of the language in detail.
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You'll learn how to navigate complex data structures and accumulate results from them,
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and you'll learn how to convert data into a format that can be used by other programs.
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At the end of the specialization,
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you'll be able to write Python programs of a few 100 lines,
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you'll be able to use and integrate Python modules into your code,
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you'll be able to use external tools like APIs by reading their documentation as well.
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We start from the beginning,
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and we don't assume any prior knowledge,
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but we do go deep into the fundamentals of
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Python to be sure that you understand every aspect of code.
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So I, you want to say something about what's a Runestone interactive environment?
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Yeah. So, the Runestone interactive textbook allows you t interleave learning
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materials with active code assessments that will allow you to actually write code.
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We find that writing code is really important
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because even though you can learn how a concept works in theory.
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So, you might know how some particular feature of Python works.
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It's really important to actually write code to gain more of a working understanding,
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and to know how to actually apply those concepts in practice.
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So, there's also the way of the programmer segments.
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So, most of the course is about how to use Python and learning about Python features.
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The way of the programmer segment is more about how programmers can and should work.
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Programming is a little bit more of an art than a science.
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There's lots of correct ways to do things,
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but there are best practices.
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So, there are things like,
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how to write programs incrementally.
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In the way of the programmer segments,
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you'll also learn about how to write good automated test cases.
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So, that's going to come in course four.
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Until then, we are going to write those tests cases for you.
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Lauren has created a whole lot of assessments where
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not only can you run the code in the browser,
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but it will tell you whether you got it right or not,
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and you get that immediate feedback,
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and you can try it as many times as you want.
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In fact, we've set up the assessments,
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so that you have to get everything right,
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100 percent in order to pass the assessment.
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The reason for that is we really want you to build mastery so that you don't go on to
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the later stuff until you've got the early material really solid.
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You'll also notice that in all of the projects that you do,
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you'll find ways of translating the concepts that you learned in the courses,
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and throughout the specialization into your real life.
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For example, different ways of building programs that might be
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fun in your job or your school or your work or whatever it is that you do.
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So, one of the things that I really like,
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as I've watched you all put this together is in Python for Everybody,
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and you already said this,
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that in Python for Everybody,
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are really focus on the program.
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If you get the program, it's like you win,
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you get the gold star.
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We didn't have the time or the luxury to
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really understand what was going on inside the program,
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were just like, we've got the program done,
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and we got to move on to the next thing,
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but with some of the stuff you have in Runestone,
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you get to say, what's really going on inside of the program,
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and how does this really work?
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That's part of the mastery is,
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so that if you can't as a programmer,
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put yourself inside the program and understand how the program is actually functioning,
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it is difficult to write more sophisticated programs.
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So, that's where, even though this technically is a beginning course,
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I think it's really important for people to take more than one beginning course,
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because you have to go over the same material over and
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over in a sense of deeper understanding each time you go through it.
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Yeah, we have this great code lens tool,
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I think you're referring to,
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that let's you visualize what's happening in
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the execution of the program one line at a time.
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You can go forwards and back,
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and see what actually was the value of that variable,
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and when did my list change what its contents were?
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So, it gives you a way of thinking about it.
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It's really great for debugging so that you don't have to just do trial and error,
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let me change something in the code.
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You can really think through what is a program.
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So, another thing that the students always asked me at the end
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of my course is, "What next?"
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I think that it's cool that you built into this specialization
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kind of a step into what they're going to do after this, Chris.
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Yeah. So, one of the things that we've added
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to this course at the very end is a project course,
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and that's really to focus people on how to take
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other APIs that might be out there or packages, and use them,
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and do something novel with them outside of just learning,
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and it gets to this repeated practice comment that you made.
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For that, we're actually doing it within the Jupyter environment.
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So, just like you need repeated practice with APIs and with Python fundamentals,
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there's so many different places that you can write Python code,
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and Runestone is one of them and
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the tools you use in Python for Everyone or one of those.
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Jupyter is one that's quite common and we teach that in
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the data science specialization that students could follow this with,
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and there's other environments too.
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So, we're trying to really show case a diversity of learning environments,
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and production environments for Python.
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Programming is not one environment.
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It's not like you have this one thing and
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type this stuff in, and that's all the programming.
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When you're out in the real world,
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each job often has a different kinds of environments.
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Practice is so important in the context of programming.
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I think Lauren has written some great examples
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of practice problems for you to work on throughout the course as well.
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We have this great practice tool that
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you'll get to see where it represents to you for review,
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some questions that you've already seen in the past.
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It keeps presenting them to you more frequently if you're having trouble,
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less frequently if you're showing mastery of them,
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and it's a way to really reinforce what you've got.
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So, look for that practice tool.
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It also has this fun fireworks,
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it'll show when you've done all of your practice problem for the day.
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So, as you can tell, we're all really excited to share this material with you,
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and we hope you have a lot of fun,
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and wish you a lot of luck.
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Here at the University of Michigan,
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our school colors are maize and blue.
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You might think of them as yellow and blue,
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but we call it maize and blue,
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and if I travel anywhere,
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and I have a Michigan logo thing on,
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someone will come up to me in the airport and say, "Go blue."
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So, on three, one, two, three, "Go blue."19261
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