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Hi, I am Steve Oney.

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I'm an assistant professor here
in the School of Information at

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the University of Michigan.

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So I teach some of the introductory
programming classes in the school of

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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 and

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a way of dealing with the increasing
amounts of data that we get and

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deal with in our everyday lives.

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In my private life, I play soccer,
like professor Resnick,

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I am an avid biker as well, and you will
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 designed around the ways

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that people think and
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, but I really enjoy teaching

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the material that I'll be teaching
you in this specialization, and

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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, almost all of course three, and

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a little bit in course four.

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I am a fan of nerdy pun humor,
also known as dad jokes, and so

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I'll be sharing a few of those with
you at the end 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 on this back
in the early 90s, things like at

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Amazon where it says, people who bought
this book also bought these other books.

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And more recently, I've been
working on online communities and

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then on educational technologies.

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In my personal life,
I like to play tennis and ride a bike.

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I've ridden very slowly up a couple of
the iconic climbs of the Tour de France,

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four years ago up Mont Ventoux, and

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a couple of years ago up the Col
du Tourmalet in the Pyrenees.

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I don't travel nearly as much as Dr.
Chuck, but I do look forward to trying to

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adopt his practice 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 him.

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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, and

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giving you some hints and
tips about what might be useful and

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exciting while working on them.

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I hope you enjoy them because I think
they're really fun, and they'll give you

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a lot of tools for working with
programming in your every day life.

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>> Hi, 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 a useful information.

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My research focuses on
educational technology, and

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I teach a lot of data science courses
including some on this platform.

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And 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 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 actually teaching

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any of the core material, 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

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not actually teach you anything but
show you something cool, and

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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,
how we can make it better.

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And I have lots of hobbies, but

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my most recent hobby is racing,
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 years ago and

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

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I since returned to help out with this
course, building up the quizzes and

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assessments and
projects that you'll be doing.

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I'm very excited that you 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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>> And in this specialization, for

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Python 3 programming, 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

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accumulate results from them.

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And you'll learn how to convert data
into a format that can be used by

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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 an integrated
Python modules into your code.

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You'll be able to use external tools like
API's by reading their documentation

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as well.

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We start from the beginning, and
we don't assume any prior knowledge, but

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we do go deep into the fundamentals of
Python to be sure that you understand

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every aspect of code.

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>> So
you want to say something about what's our

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Runestone interactive environment and-
>> Yeah, so

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the Runestone interactive textbook allows
you to interleave learning materials

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with ActiveCode assessments that will
allow you to actually write code.

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And we find that writing code
is really important because

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even though you can learn how
a concept works in theory, so

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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

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understanding.

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And to know how to actually apply
those concepts and 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,
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'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 test cases for you.

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>> Lauren has created a whole lot of
assessments where, not only can you

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run the code in the browser, but it will
tell you whether you got it right or not.

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And you get 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 assessment so
that you have to get it right,

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you get everything right, 100%,
in order to pass the assessment.

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And the reason for that is we really want
you to build mastery so that you don't

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go on to 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 learn in the courses and

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throughout the specialization
into your real life.

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For example, different ways of building
programs that might be fun in your job, or

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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 Python for Everybody.

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And you've kind of already said this,
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, you get the gold star.

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And we didn't have the time or

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the luxury to really understand what
was going on inside the program, or

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just like we got the program done and
we going to move on to the next thing.

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But with some of the stuff we have
in Runestone, you get to say,

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what's really going on inside of
the program and how does this really work?

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And that's part of the mastery, so that
if you can, as a programmer, kind of put

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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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And so, that's where, even though there's
technically as 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 with, in a sense, deeper
understanding each time you go through it.

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>> Yeah, we have this great codelens tool,
I think you're referring to,

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it let's you visualize what's happening
in the execution of the program

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one line at a time.

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And, you can go Forward and

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Back 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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And 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 does the program do.

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>> So another thing that students always
ask me at the end of my course is,

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what next?

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And I think that it's kind of cool that
you built into this specialization kind

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of, or 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 of

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the project course, and

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that's really to focus people on how to
take other APIs that might be out there or

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packages and use them 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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And 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 a Python code and Runestone's,

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one of them and 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 the Data Science

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specialization that students
can follow this with.

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And 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,
right?

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It's not like you have this one thing,
you type the stuff in and

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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 different
kinds of environments.

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>> Yeah, and practice is so
important in the context of programming.

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I think Lauren has written some great
examples of practice problems for

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you to work on throughout
the course as well.

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>> And we have this great practice tool
that you'll get to see where it represents

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

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And 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, so look for

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that practice tool.

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It also had this fun fireworks
that it'll show when you've

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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 you.

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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, 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.