Dynamic Programming with Python

The hands-on lab is part of this learning path

Pythonic Programming
course-steps 6 certification 1 lab-steps 2

Lab Steps

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Logging in to the Amazon Web Services Console
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Connecting to the Python Web IDE
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Exercise 1 - Dynamic Classes
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Exercise 2 - Monkey Patching

Ready for the real environment experience?

DifficultyBeginner
Max Duration1h
Students40
Ratings
5/5
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Description

Lab Overview

Knowing how to write code in a Pythonic style is an important skill that should be mastered!

This Lab is designed to show you how to exploit various Python language features to produce code that is considered to be Pythonic - being clear, concise, readable and maintainable. 

  • Exercise 1 - DynamicClasses: Complete the code required to dynamically create classes at runtime using the builtin type() function
  • Exercise 2 - MonkeyPatching: Complete the code required to Monkey Patch a custom module - swapping out an existing function for an updated function at runtime

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

Lab Objectives

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

  • Write Python code that can dynamically generate new classes at runtime programatically
  • Write Python code that can monkey patch existing Python code at runtime - thereby changing the behaviour of code 
  • Use the terminal to launch and debug Python scripts

You should:

  • Be comfortable with using a browser-based IDE

Lab Environment

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 - DynamicClasses
    • Exercise 2 - MonkeyPatching

 

About the Author

Students10107
Labs26
Courses61
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Jeremy is the DevOps Content Lead at Cloud Academy where he specializes in developing technical training documentation for DevOps.

He has a strong background in software engineering, and has been coding with various languages, frameworks, and systems for the past 20+ years. In recent times, Jeremy has been focused on DevOps, Cloud, Security, and Machine Learning.

Jeremy holds professional certifications for both the AWS and GCP cloud platforms.
 

Covered Topics