Bonus: Office Hours New York City

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From the course by University of Michigan

Python Data Structures

24679 ratings

University of Michigan

Python Data Structures

24679 ratings

Course 2 of 5 in the Specialization Python for Everybody

This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Everybody”. This course covers Python 3.

From the lesson

Chapter Six: Strings

In this class, we pick up where we left off in the previous class, starting in Chapter 6 of the textbook and covering Strings and moving into data structures. The second week of this class is dedicated to getting Python installed if you want to actually run the applications on your desktop or laptop. If you choose not to install Python, you can just skip to the third week and get a head start.

Bonus: Office Hours New York City2:26

Bonus: Monash Museum of Computing History7:03

Fun: The Textbook Authors Meet @PyCon3:55

Meet the Instructors

Charles Severance
Associate Professor
School of Information

Hello everybody, this is Dr. Chuck.

We are in New York City.

We are at the largest ever Office Hours on like 7th St. and 38th, right?

>> Hey Doc.

>> Oh yeah, you can take a picture.

That's okay, you can take a picture too.

Oh, that's right, I keep thinking I should have you guys film it yourselves.

We needed camera people.

But okay, here we go.

So we'll just say hi.

>> Hi, I'm Dustin this is my first Coursera course and

I'm here to just learn something new.

>> Cool!

>> Hi, I'm Carmen and

it's my first Coursera course and I'm here to learn the program.

>> Okay. >> Hi, I'm Katie.

I've taken a couple of Coursera classes and thrilled to be here.

>> Hi, I'm Mark and this is the first one that I really hope to complete.

>> Good, I hope you complete as well.

>> Right and I do look forward to working with Chuck and

collaborating with my colleagues.

>> Cool. >> Hi, I'm Vanesh\g.

I've lost count of how many Coursera's classes I've taken,

but it's been fun to have the instructor here.

>> Cool.

>> Hi, my name is Anna.

Hello from Russia, and thanks Dr. Chuck for everything.

[LAUGH] >> [LAUGH]

We've had many people from Russia in the course.

>> Hi.

I'm Ahmed.

I will be a future Coursera Student.

>> Okay welcome to the class, >> Goodnight.

>> In the future.

>> [LAUGH] >> Hi I'm Rodney.

This is my first Coursera course.

I'm trying to master in Python.

>> Okay.

>> Hi I'm Shannon it's also my first Coursera course and

I'm excited to start it >> Okay.

>> I'm Brian.

I just to learn some coding.

>> [LAUGH] >> Okay Brian, welcome to the class.

>> Hi, I'm Alerta and I've been with Coursera for two years.

>> Yeah, yeah, you were in my very first class.

>> Yes. >> Well, welcome.

>> Yes, I am Michael.

It's my first Coursera course.

And I hope that this is going to be a lot of fun.

>> But you're also a teacher right?

>> I am a teacher. >> What do you teach?

>> I teach biology.

>> Teach biology, like high school?

>> High school, middle school.

Yes. >> Ok, so

you got to find like the football coach and

teach your football coach to teach python.

>> Right.

>> Of course.

>> Hi, I'm Chris and this is my 14 or 15 MOOC.

>> Holy mackerel.

[LAUGH] I just wanted to do a meetup because professor's so cool.

>> Thanks.

>> Hi, I'm Sheram.

This is my first Coursera course.

I work in IT, and,

after speaking with all of these beautiful people here, I'm so excited.

Here I come, programming.

>> Okay, so thanks everybody for >> [NOISE] Okay.

Well, we'll see everybody online.

Next week, we'll be in Miami Beach, Florida.

So, we'll see you in Miami.

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