Software Development

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: Farish Kashefinejad; Difficulty: Advanced; Description: In this lab, you will be working with JavaScript Classes.; Duration: Up to 45 minutes; Content Topics: Development; This hands-on lab has: 11 Lab steps

Author: Ben Lambert; Difficulty: Beginner; Description: Build your Python skills by creating a basic console based guessing game. Combine Python's language fundamentals to build a game that prompts player's to guess a number between 1 and 20.; Duration: Up to 45 minutes; Content Topics: Development; This hands-on lab has: 2 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use a Generative AI model to perform code reviews in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Continuous Integration; This hands-on lab has: 4 Lab steps

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: Ben Lambert; Difficulty: Intermediate; Description: The Python Database API Specification v2.0 defines a common API for accessing databases with Python. Making database access with Python more consistent across different database engines. This lab introduces the DB-API specification through hands-on learning.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 7 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

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: Andrew Burchill; Difficulty: Intermediate; Description: In this hands-on lab you will set various CSS box model properties control the layout, size, and positioning of HTML elements.; Duration: Up to 45 minutes; Content Topics: Development; This hands-on lab has: 4 Lab steps

Author: Parveen Singh; Difficulty: Intermediate; Description: Learn how to create an Azure CosmosDB account and containers using 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: Parveen Singh; Difficulty: Beginner; Description: Learn how to use Python SDK to authenticate and interact with Azure Web Apps in this hands-on lab.; Duration: Up to 1 hour; This hands-on lab has: 3 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

Type: new learning path; Difficulty: Intermediate; Description: In this lab course, you will learn how to process, analyze, and extract insights from text using Python.; Duration: Up to 14 hours and 30 minutes; This learning path has: 9 Hands-on labs