Rice University - Python Data Representations
- Offered byCoursera
Python Data Representations at Coursera Overview
Duration | 9 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Python Data Representations at Coursera Highlights
- This Course Plus the Full Specialization.
- Shareable Certificates.
- Graded Programming Assignments.
Python Data Representations at Coursera Course details
- 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.
Python Data Representations at Coursera Curriculum
Strings
Welcome!
Class Structure
Python Strings
Indexing Strings
Searching Strings
Slicing Strings
Answering Common Python Questions
Formatting Strings
Practice Exercises for Strings
Strings
Basics of Lists
Lists
List Indexing and Slicing
Splitting and Joining Strings
List Searching
Iteration over Lists
Using Thonny's Debugger
Debugging an Example Program
Defining and Accessing Lists
Iteration
Using Thonny
Practice Exercises for Lists
Lists
List Manipulation
List Mutation
Tuples
Objects and References
Understanding List References
Diagnosing List Reference Issues
List Processing Example
Visualizing Objects and References
Practice Exercises for List Manipulation
List Manipulation
File Access
Opening and Reading Files
Reading Files using Iteration
Writing Files
Working with File Paths
Project Video
Introduction to Files
Understanding File Systems and Paths
Practice Project: Updating the CodeSkulptor Docs
Project Description: File Differences
OwlTest: Automated Feedback and Assessment
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