Lab Challenge

Python for Beginners Challenge

Push your skills to the next level in a live environment

Lab Steps

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Python for Beginners Challenge

The hands-on lab is part of this learning path

Python for Beginners
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Difficulty

Beginner

Time Limit

1h

Students

745

Ratings
3.4/5
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About Lab Challenges

Lab challenges are hands-on labs with the gloves off. You jump into an auto-provisioned cloud environment and are given a goal to accomplish. No instructions, no hints. To pass, you'll have a limited time to demonstrate your problem-solving skills and get the checks that inspect the state of your lab environment.

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Challenge Description

Python is one of the most popular programming languages around. Your effort invested in learning Python can take your career to many places. This lab challenge will help you confirm your knowledge in topics covered in the Python for Beginners learning path.

In this lab challenge, you will be provided with a web browser-based integrated development environment (IDE) with several incomplete code files pre-loaded. Each code file describes what you must do to complete it before time runs out. This is a real environment, which means you can prove your knowledge in an applied situation, leaving behind multiple choice questions for a dynamic performance-based exam situation.

Updates

April 14th, 2020 - Updated to use a fully embedded IDE for a superior user experience

March 5th, 2020 - Updated lab infrastructure to allow direct access to the development environment without navigating cloud vendor consoles and reduce startup time by ~50%.

What will be assessed

  • Your ability to write Python code within a time-limited environment
  • Particular aspects of Python that may be assessed include working with strings, lists, tuples, sets, and dictionaries

Intended audience

  • Python developers, especially those that are just beginning to learn Python

Prerequisites

  • Introductory knowledge of Python 3
  • Completion of the Python for Beginners is recommended before attempting this lab challenge

Environment example

Environment before
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Environment after
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About the Author
Students67466
Labs116
Courses11
Learning paths15

Logan has been involved in software development and research since 2007 and has been in the cloud since 2012. He is an AWS Certified DevOps Engineer - Professional, AWS Certified Solutions Architect - Professional, Microsoft Certified Azure Solutions Architect Expert, MCSE: Cloud Platform and Infrastructure, Google Cloud Certified Associate Cloud Engineer, Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), Linux Foundation Certified System Administrator (LFCS), and Certified OpenStack Administrator (COA). He earned his Ph.D. studying design automation and enjoys all things tech.