University of Michigan

Python Data Structures

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1,044,309 already enrolled

Course

Gain insight into a topic and learn the fundamentals

4.9

(95,101 reviews)

|

98%

Beginner level
No prior experience required
18 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Explain the principles of data structures & how they are used

  • Create programs that are able to read and write data from files

  • Store data as key/value pairs using Python dictionaries

  • Accomplish multi-step tasks like sorting or looping using tuples

Details to know

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Assessments

5 quizzes

Taught in English

Course

Gain insight into a topic and learn the fundamentals

4.9

(95,101 reviews)

|

98%

Beginner level
No prior experience required
18 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Python for Everybody Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 7 modules in this course

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.

What's included

7 videos7 readings1 quiz1 app item

In this module you will set things up so you can write Python programs. We do not require installation of Python for this class. You can write and test Python programs in the browser using the "Python Code Playground" in this lesson. Please read the "Using Python in this Class" material for details.

What's included

5 videos2 readings1 peer review1 app item

Up to now, we have been working with data that is read from the user or data in constants. But real programs process much larger amounts of data by reading and writing files on the secondary storage on your computer. In this chapter we start to write our first programs that read, scan, and process real data.

What's included

5 videos1 reading1 quiz2 app items

As we want to solve more complex problems in Python, we need more powerful variables. Up to now we have been using simple variables to store numbers or strings where we have a single value in a variable. Starting with lists we will store many values in a single variable using an indexing scheme to store, organize, and retrieve different values from within a single variable. We call these multi-valued variables "collections" or "data structures".

What's included

7 videos1 quiz2 app items

The Python dictionary is one of its most powerful data structures. Instead of representing values in a linear list, dictionaries store data as key / value pairs. Using key / value pairs gives us a simple in-memory "database" in a single Python variable.

What's included

7 videos1 quiz1 app item

Tuples are our third and final basic Python data structure. Tuples are a simple version of lists. We often use tuples in conjunction with dictionaries to accomplish multi-step tasks like sorting or looping through all of the data in a dictionary.

What's included

6 videos1 quiz1 app item

To celebrate your making it to the halfway point in our Python for Everybody Specialization, we welcome you to attend our online graduation ceremony. It is not very long, and it features a Commencement speaker and very short commencement speech.

What's included

2 videos2 readings

Instructor

Instructor ratings
4.9 (12,043 ratings)
Charles Russell Severance
University of Michigan
60 Courses4,240,766 learners

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