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Hi, I'm Steve Oney.

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I'm an Assistant Professor here in the School of

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Information at the University of Michigan.

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So, I teach some of

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the introductory programming classes in the School of

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Information and I'm really excited to have you join us,

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because I really think programming is going to

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increasingly be a fundamentally important literacy and

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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,

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I play soccer, like Professor Resnick,

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I am an avid biker as well 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 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 what's known as recommender systems.

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I first published on 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

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online communities 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 up a couple of the iconic climes of the Tour de France,

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four years ago [inaudible] and a couple of years ago up [inaudible] 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 and I'm

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a lecturer at the University of Michigan, School of Information.

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I teach a lot of programming courses including courses a lot like the ones you'll see

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here and I also build in design and support a lot of course resources.

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All of this means that I've seen a lot of

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different students complete a lot of different programming projects.

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What I'll be doing here is orienting you to the end of course projects and giving you

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some hints and tips about what 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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I'm Chris Brooks, 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 and

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large image sets and use Python to change it into useful information.

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My research focuses on educational technology and I teach a lot of data science courses

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including some on this platform and I'm very

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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 and you may have seen

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me before in the Python for everybody specialization,

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which is some of you took that and then came to this class.

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I'm really enjoying what I'm doing in this class and that I'm not

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actually 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 sort of I get to play a little bit and not actually teach you anything,

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but show you something cool and that gave me a lot of

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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 this course a couple of years ago

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and ended up working as instructional aid and to help other students learn the material.

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I censor turned to help out with this course building

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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 3 programming,

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you 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 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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Though I, you want to say something about what are Runestone Interactive Environment.

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Yeah. So, the Runestone Interactive textbook allows you to enter and leave

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learning materials with active code assessments

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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

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a working understanding 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 how to write programs incrementally.

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In the way of the programmer segments,

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you will 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're 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'll tell you whether you got it right or not and you get

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that immediate feedback and you can try it as many times as you want.

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In fact, we've set up the assessments so that you have to

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get everything right 100% 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

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learn in the courses 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 is I've watched you've put this together is,

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in Python for everybody and you already said this.

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In Python for everybody,

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I 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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We're just like we've got the program done and we got to move on to the next thing.

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But with with some of the stuff that you have in Runestone,

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you get to say what's really going on inside of

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the program and and how does this really work.

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That's part of the mastery.

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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 deeper understanding each time you go through it.

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We have this great code lens too I think you're referring too,

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and lets you visualize what's happening

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in the execution of the program one line at a time.

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You can go forward and back and see what actually was the value

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of that variable 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 kind of 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 to this course at the very end

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is the project course and that's really to focus people

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on how to take other APIs that might be out there or

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packages and use them and do something novel

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with them outside of just learning and it

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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

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Python code and Runestone is one of them

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and the tools you use in Python for everyone are 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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There's other environments too and so we're trying to really showcase

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a diversity of learning environments 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 you

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type this stuff in and that's all a programming.

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When you're out in the real world,

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each job often has different kinds of environments.

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Practice is so important in the context of programming and I think Lauren has written

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some great examples of

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practice problems for you to work on throughout the course as well.

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We have this great practice tool that you'll get to see where it represents to

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you for review some questions that you've already seen in the past,

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and keeps presenting them to you.

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More frequently if you're having trouble,

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last frequently if you're showing mastery of

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them 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 nice fun fireworks that'll

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show when you've done all of your practice problems for the day.

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So, as you can tell, we're all really excited to share this material with

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you and we hope you have a lot of fun and wish you a lot of luck.

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Here at the University of Michigan 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 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.

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One, two, three.

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Go blue.