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⇱ Python Data Structures | Coursera


Python Data Structures

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Python Data Structures

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Gain insight into a topic and learn the fundamentals.
4.9

97,289 reviews

Beginner level
No prior experience required
Flexible schedule
2 weeks at 10 hours a week
Learn at your own pace
98%
Most learners liked this course

Gain insight into a topic and learn the fundamentals.
4.9

97,289 reviews

Beginner level
No prior experience required
Flexible schedule
2 weeks at 10 hours a week
Learn at your own pace
98%
Most learners liked this course

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 assignmentsΒΉ

AI Graded see disclaimer
Taught in English

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

There are 7 modules in this course

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 β€œPython for Everybody”. This course covers Python 3.

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 assignment1 app item

7 videosβ€’Total 57 minutes
  • Video Welcome - Dr. Chuckβ€’2 minutes
  • Stringsβ€’16 minutes
  • Manipulating Stringsβ€’18 minutes
  • Worked Exercise: Stringsβ€’8 minutes
  • Bonus: Office Hours New York Cityβ€’2 minutes
  • Bonus: Monash Museum of Computing Historyβ€’7 minutes
  • Fun: The Textbook Authors Meet @PyConβ€’4 minutes
7 readingsβ€’Total 70 minutes
  • Reading: Welcome to Python Data Structuresβ€’10 minutes
  • Help Us Learn More About You!β€’10 minutes
  • Course Syllabusβ€’10 minutes
  • Textbookβ€’10 minutes
  • Submitting Assignmentsβ€’10 minutes
  • Notice for Auditing Learners: Assignment Submissionβ€’10 minutes
  • Audio Versions of All Lecturesβ€’10 minutes
1 assignmentβ€’Total 30 minutes
  • Quiz: Chapter 6β€’30 minutes
1 app itemβ€’Total 60 minutes
  • Assignment: Parse Text Stringsβ€’60 minutes

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

5 videosβ€’Total 26 minutes
  • Demonstration: Using the Python Playgroundβ€’4 minutes
  • Windows 10: Installing Python and Writing A Programβ€’6 minutes
  • Windows: Taking Screen Shotsβ€’2 minutes
  • Macintosh: Using Python and Writing A Programβ€’9 minutes
  • Macintosh: Taking Screen Shotsβ€’4 minutes
2 readingsβ€’Total 20 minutes
  • Important: Using Python in this Classβ€’10 minutes
  • Choosing a Text Editorβ€’10 minutes
1 peer reviewβ€’Total 120 minutes
  • Optional- Installing Python Screen Shotsβ€’120 minutes
1 app itemβ€’Total 60 minutes
  • Python Code Playgroundβ€’60 minutes

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 assignment2 app items

5 videosβ€’Total 46 minutes
  • Filesβ€’8 minutes
  • Processing Filesβ€’12 minutes
  • Worked Exercise: Filesβ€’10 minutes
  • Bonus: Office Hours Barcelonaβ€’1 minute
  • Bonus: Gordon Bell - Building Blocks of Computingβ€’15 minutes
1 readingβ€’Total 10 minutes
  • Where is the worked exercise for the second assignment?β€’10 minutes
1 assignmentβ€’Total 30 minutes
  • Quiz: Chapter 7β€’30 minutes
2 app itemsβ€’Total 120 minutes
  • Assignment: Read a File and Convert Its Textβ€’60 minutes
  • Assignment: Read a File and Process Its Dataβ€’60 minutes

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 assignment2 app items

7 videosβ€’Total 48 minutes
  • Listsβ€’10 minutes
  • Manipulating Listsβ€’9 minutes
  • Lists and Stringsβ€’8 minutes
  • Fun: Python Lists in Parisβ€’1 minute
  • Worked Exercise: Listsβ€’12 minutes
  • Bonus: Office Hours - Chicagoβ€’1 minute
  • Bonus: Rasmus Lerdorf - Inventing the PHP Languageβ€’8 minutes
1 assignmentβ€’Total 30 minutes
  • Quiz: Chapter 8β€’30 minutes
2 app itemsβ€’Total 120 minutes
  • Assignment: Create a Sorted Word Listβ€’60 minutes
  • Assignment: Build a List of Sendersβ€’60 minutes

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 assignment1 app item

7 videosβ€’Total 76 minutes
  • Dictionariesβ€’10 minutes
  • Counting with Dictionariesβ€’9 minutes
  • Dictionaries and Filesβ€’14 minutes
  • Worked Exercise: Dictionariesβ€’26 minutes
  • Bonus: Office Hours - Amsterdamβ€’3 minutes
  • Bonus: Brendan Eich - Inventing Javascriptβ€’12 minutes
  • Fun: Dr. Chuck Goes Motocross Racingβ€’2 minutes
1 assignmentβ€’Total 30 minutes
  • Quiz: Chapter 9β€’30 minutes
1 app itemβ€’Total 60 minutes
  • Assignment: Find the Most Frequent Senderβ€’60 minutes

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 assignment1 app item

6 videosβ€’Total 51 minutes
  • Tuplesβ€’18 minutes
  • Worked Exercise: Tuples and Sortingβ€’13 minutes
  • Bonus: Office Hours - Puebla, Mexicoβ€’1 minute
  • Bonus: John Resig - Inventing JQueryβ€’10 minutes
  • Douglas Crockford: JavaScript Object Notation (JSON)β€’7 minutes
  • Fun: The Greatest Taco in the Worldβ€’2 minutes
1 assignmentβ€’Total 30 minutes
  • Quiz: Chapter 10β€’30 minutes
1 app itemβ€’Total 60 minutes
  • Assignment: Sort and Count Messagesβ€’60 minutes

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

2 videosβ€’Total 16 minutes
  • Graduation Ceremonyβ€’7 minutes
  • Dr.Chuck Wrap Up/What's Nextβ€’9 minutes
2 readingsβ€’Total 20 minutes
  • Please Rate this Course on Class-Centralβ€’10 minutes
  • Post-Course Surveyβ€’10 minutes

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Instructor

Instructor ratings
4.9 (12,593 ratings)
University of Michigan
60 Coursesβ€’4,901,267 learners

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Showing 3 of 97289

DF
Β·

Reviewed on Nov 16, 2016

I really like this courses from Dr. Chuck. Just like previous course, this one has also been entertaining and interesting. I'm looking forward to the rest of courses in this specialization for Python.

AC
Β·

Reviewed on Jun 18, 2020

Great course for pyhton. Loved this course and enjoyed it. Thanks to Dr.Chuck. If anyone who want to take a course which is well explained and fun for python learning, then Hey!!! this is your course.

MM
Β·

Reviewed on Aug 19, 2020

Loved this course as it teaches you to get started with python and Dr.Chuck has made this course very much engaging and interesting. I would suggest to take this course in the order of specialization.

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,

ΒΉ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.