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Python Data Representations

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Python Data Representations

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Gain insight into a topic and learn the fundamentals.
4.7

1,131 reviews

Beginner level
No prior experience required
Flexible schedule
9 hours to complete
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
4.7

1,131 reviews

Beginner level
No prior experience required
Flexible schedule
9 hours to complete
Learn at your own pace

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

3 assignments

Taught in English
96%
Most learners liked this course

Build your subject-matter expertise

This course is part of the Introduction to Scripting in Python 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 4 modules in this course

This course will continue the introduction to Python programming that started with Python Programming Essentials. We'll learn about different data representations, including strings, lists, and tuples, that form the core of all Python programs. We will also teach you how to access files, which will allow you to store and retrieve data within your programs. These concepts and skills will help you to manipulate data and write more complex Python programs.

By the end of the course, you will be able to write Python programs that can manipulate data stored in files. This will extend your Python programming expertise, enabling you to write a wide range of scripts using Python This course uses Python 3. While most Python programs continue to use Python 2, Python 3 is the future of the Python programming language. This course introduces basic desktop Python development environments, allowing you to run Python programs directly on your computer. This choice enables a smooth transition from online development environments.

This module will teach you about Python's string data type and its capabilities. Strings are used to represent text within programs.

What's included

7 videos2 readings1 assignment

7 videosβ€’Total 45 minutes
  • Welcome!β€’3 minutes
  • Class Structureβ€’4 minutes
  • Python Stringsβ€’8 minutes
  • Indexing Stringsβ€’7 minutes
  • Searching Stringsβ€’8 minutes
  • Slicing Stringsβ€’6 minutes
  • Answering Common Python Questionsβ€’8 minutes
2 readingsβ€’Total 20 minutes
  • Formatting Stringsβ€’10 minutes
  • Practice Exercises for Stringsβ€’10 minutes
1 assignmentβ€’Total 30 minutes
  • Stringsβ€’30 minutes

This module will teach you the basics of Python's list data type. Lists are used to hold a sequence of data within programs.

What's included

7 videos4 readings1 assignment

7 videosβ€’Total 56 minutes
  • Listsβ€’7 minutes
  • List Indexing and Slicingβ€’9 minutes
  • Splitting and Joining Stringsβ€’8 minutes
  • List Searchingβ€’5 minutes
  • Iteration over Listsβ€’10 minutes
  • Using Thonny's Debuggerβ€’8 minutes
  • Debugging an Example Programβ€’9 minutes
4 readingsβ€’Total 40 minutes
  • Defining and Accessing Listsβ€’10 minutes
  • Iterationβ€’10 minutes
  • Using Thonnyβ€’10 minutes
  • Practice Exercises for Listsβ€’10 minutes
1 assignmentβ€’Total 30 minutes
  • Listsβ€’30 minutes

This module will dive further into the use of lists. You will learn how about mutating the contents of a list and the implications of doing so.

What's included

5 videos3 readings1 assignment

5 videosβ€’Total 37 minutes
  • List Mutationβ€’6 minutes
  • Tuplesβ€’9 minutes
  • Objects and Referencesβ€’7 minutes
  • Understanding List Referencesβ€’8 minutes
  • Diagnosing List Reference Issuesβ€’8 minutes
3 readingsβ€’Total 30 minutes
  • List Processing Exampleβ€’10 minutes
  • Visualizing Objects and Referencesβ€’10 minutes
  • Practice Exercises for List Manipulationβ€’10 minutes
1 assignmentβ€’Total 30 minutes
  • List Manipulationβ€’30 minutes

This module will teach you how to access files in Python.

What's included

5 videos5 readings2 app items

5 videosβ€’Total 41 minutes
  • Opening and Reading Filesβ€’7 minutes
  • Reading Files using Iterationβ€’5 minutes
  • Writing Filesβ€’5 minutes
  • Working with File Pathsβ€’9 minutes
  • Project Videoβ€’14 minutes
5 readingsβ€’Total 50 minutes
  • Introduction to Filesβ€’10 minutes
  • Understanding File Systems and Pathsβ€’10 minutes
  • Practice Project: Updating the CodeSkulptor Docsβ€’10 minutes
  • Project Description: File Differencesβ€’10 minutes
  • OwlTest: Automated Feedback and Assessmentβ€’10 minutes
2 app itemsβ€’Total 120 minutes
  • Project: File Differencesβ€’60 minutes
  • Project Submission Historyβ€’60 minutes

Earn a career certificate

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Instructors

Instructor ratings
4.8 (125 ratings)
Rice University
11 Coursesβ€’421,468 learners

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Learner reviews

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Showing 3 of 1131

JK
Β·

Reviewed on Aug 31, 2021

These are excellent classes to take if you're interested in learning Python - I would highly recommend the Introduction to Scripting in Python Specialization.

HN
Β·

Reviewed on Nov 4, 2025

Excellent course for Python Scripting starters. Very well explained with humor. Also very good tips for Python programming and debugging.

JA
Β·

Reviewed on Aug 1, 2019

This course is really fantastic for beginners and those who want to start learning python. Instructors teach the essentials and principles of the python language patiently and fun.

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,