Python

Author: Logan Rakai; Difficulty: Beginner; Description: Write code to select all the anagrams of a given word from a list of candidates in this lab challenge.; Duration: Up to 25 minutes; Content Topics: Development; This lab challenge has: 2 Lab steps

Author: Ben Lambert; Difficulty: Beginner; Description: Build upon your Python skills by creating a console based blackjack game. This lab demonstrates how the Python language is used to create and control objects. It leverages a wide range of Python's functionality such as classes, functions, loops, conditionals, built-in objects, doctests, and more.; Duration: Up to 3 hours; Content Topics: Development; This hands-on lab has: 6 Lab steps

Author: Andrea Giussani; Difficulty: Advanced; Description: The aim of this lab is to challenge you on building a supervised machine learning pipeline to predict the probability that a subject will suffer from a heart stroke.; Duration: Up to 1 hour; Content Topics: Machine Learning; This lab challenge has: 2 Lab steps

Author: QA; Difficulty: Beginner; Description: This lab introduces the Python 3 programming language to programmers starting out in Python 3 or for those porting existing applications from Python 2.; Duration: Up to 8 hours; Content Topics: Development; This hands-on lab has: 2 Lab steps

Author: Ben Lambert; Difficulty: Intermediate; Description: Debugging is a natural part of the development process. This lab introduces three debugging techniques for effectively debugging Python applications.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 7 Lab steps

Author: Jun Fritz; Difficulty: Intermediate; Description: Learn how to define your cloud application resources using the AWS Cloud Development Kit v2 in Python in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 6 Lab steps

Author: Logan Rakai; Difficulty: Intermediate; Description: Test your knowledge of building Python applications using a shutdown watcher in this lab challenge.; Duration: Up to 40 minutes; Content Topics: Development; This lab challenge has: 2 Lab steps

Author: Ben Lambert; Difficulty: Intermediate; Description: Object oriented programming consists of bundling data and code together into a single entity referred to as **objects**. Object inheritance is an important aspect of object-oriented programming. Learn how to create object hierarchies in this hands-on lab.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 6 Lab steps

Author: Ben Lambert; Difficulty: Intermediate; Description: Learn how to use magic methods to control the way that objects interact with the Python language syntax and built-in functions. This lab covers commonly used magic methods through hands-on learning.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 4 Lab steps

Author: Ben Lambert; Difficulty: Intermediate; Description: The unittest.mock module is Python's built-in mocking and patching module. Used to replace objects with fake implementations during testing. This lab introduces the unittest.mock module through hands-on learning.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 12 Lab steps

Author: Ben Lambert; Difficulty: Intermediate; Description: Python's built-in unittest module is a testing framework for creating unit and integration tests. This lab introduces the unittest module through hands-on learning.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 12 Lab steps

Author: Andrea Giussani; Difficulty: Advanced; Description: In this Lab, you will be challenged on your knowledge on Python for Data Science, in particular on three important aspects: Programming, Data Management and Visualization. The idea is to test your ability to deal with advanced data science requests that a Senior Data Scientist is expected to deal with.; Duration: Up to 1 hour; This lab challenge has: 2 Lab steps

Author: Logan Rakai; Difficulty: Intermediate; Description: Test your knowledge of building Python applications using multiprocessing queues and events in this lab challenge.; Duration: Up to 40 minutes; Content Topics: Development; This lab challenge has: 2 Lab steps

Author: Ben Lambert; Difficulty: Intermediate; Description: The unittest.mock module is Python's built-in mocking and patching module. Used to replace objects with fake implementations during testing. This lab introduces the unittest.mock.patch callable through hands-on learning.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 11 Lab steps

Author: Andrea Giussani; Difficulty: Advanced; Description: In this lab challenge, you will be tested on your scikit-learn skills to build a machine learning pipeline to predict the price of a stock; Duration: Up to 1 hour and 30 minutes; Content Topics: Machine Learning; This lab challenge has: 2 Lab steps

Difficulty: Intermediate; Duration: 35 minutes and 5 seconds; This course has: 12 Units

Author: Parveen Singh; Difficulty: Intermediate; Description: Learn how to use Python SDK to interact with the Azure environment and create virtual machine resources using Azure CLI and Python SDK in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 3 Lab steps

Author: Ben Lambert; Difficulty: Intermediate; Description: The Web Server Gateway Interface (WSGI) specification defines a simple universal-interface between web servers and web applications. Enabling web developers to mix and match WSGI compliant servers and applications. This lab introduces some of the primary concepts of WSGI applications.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 7 Lab steps

Author: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will use the CoinGecko Python API to retrieve and visualize cryptocurrencies data.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 2 Lab steps

Author: Calculated Systems; Difficulty: Intermediate; Description: This lab will teach you how to create maps from geospatial data using the GeoJSON extension for JupyterLabs.; Duration: Up to 1 hour; Content Topics: Google Cloud Platform; This hands-on lab has: 2 Lab steps

Author: Parveen Singh; Difficulty: Intermediate; Description: Learn how to interact with PostgreSQL flexible server using a python based Django app in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 4 Lab steps

Difficulty: Intermediate; Description: This course covers Text Analysis and LLMs with Python Labs.; Duration: Up to 14 hours and 30 minutes; This learning path has: 9 Hands-on labs

Author: Mark Secrist; Difficulty: Beginner; Description: Using Test Driven Development (TDD) practices, complete a partially provided Python solution, being guided by a set of given Python unit tests. Specifically, you must complete the implementation of a function that calculates the volume discounts for an ecommerce platform, ensuring that the solution passes the provided set of unit tests.; Duration: Up to 2 hours and 7 minutes; Content Topics: Test Driven Development (TDD); This lab challenge has: 2 Lab steps

Difficulty: Intermediate; Duration: 40 minutes and 41 seconds; Content Topics: Development; This course has: 14 Units