hands-on lab

Coding with Python Collection Types

Difficulty: Beginner

Duration: Up to 1 hour and 15 minutes

Students: 7,131

Rating: 4.3/5

You can pause this lab for up to 1h

Get guided in a real environmentPractice with a step-by-step scenario in a real, provisioned environment.

Learn and validateUse validations to check your solutions every step of the way.

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Description

Knowing how to manage large amounts of data using the right Python collection types is an important skill that should be mastered!

This Lab is designed to show you how to assess and exploit the correct Python collection types.

Exercise 1 - Tuples: Complete the code used to store and manipulate data using Tuples
Exercise 2 - Lists: Complete the code used to store and manipulate data using Lists
Exercise 3 - Sets: Complete the code used to store and manipulate data using Sets
Exercise 4 - Dictionaries: Complete the code used to store and manipulate data using Dictionaries

Note: Each exercise has a provided solution to consult with when needed.

Upon completion of this Lab, you will be able to:

Write Python code to manage and maintain data within Tuples, Lists, Sets, and Dictionaries
Use the terminal to launch and debug Python scripts

You should:

This Lab will start with the following AWS resources provisioned automatically for you:

A single EC2 instance, named ide.python.platform.instance, which will have a public IP address attached. This instance will host a web-based Python IDE (based on the Visual Code editor).

To achieve the Lab end state, you will be walked through the process of:

Using your local browser, access the web-based Python IDE served from the ide.python.platform.instance
Completing the following lab exercises:
- Exercise 1 - Tuples
- Exercise 2 - Lists
- Exercise 3 - Sets
- Exercise 4 - Dictionaries

Connecting to the Python IDE

Exercise 1 - Tuples

Exercise 2 - Lists

Exercise 3 - Sets

Exercise 4 - Dictionaries