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: 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: 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: 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: Ben Lambert; Difficulty: Beginner; Duration: 51 minutes and 16 seconds; Content Topics: Development; This course has: 8 Lectures

Author: Andrea Giussani; Difficulty: Intermediate; Duration: 1 hour and 33 minutes; Content Topics: Development; This course has: 7 Lectures

Author: Ben Lambert; Difficulty: Beginner; Description: Python has become one of the most popular programming languages. This course introduces the core language features through courses and hands-on labs.; Duration: Up to 48 hours and 51 minutes; Content Topics: Development; This learning path has: 24 Courses, 22 Hands-on labs

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: Beginner; Description: Challenge your knowledge of Python by implementing functions used to check words and phrases for palindromes.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 4 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: Ben Lambert; Difficulty: Beginner; Duration: 6 minutes and 37 seconds; Content Topics: Development; This course has: 1 Lecture

Author: Logan Rakai; Difficulty: Beginner; Description: In this lab challenge, you will write code to determine the containment relationship between two lists.; Duration: Up to 25 minutes; Content Topics: Development; This lab challenge has: 2 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: 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: Ben Lambert; Difficulty: Intermediate; Duration: 9 minutes and 23 seconds; Content Topics: Development; This course has: 1 Lecture

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

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: 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: Virtualization; 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: Pip is a package installer for Python. Pip is used to install packages from the Python Package Index, other indexes, local distributions, URLs, and source control systems. This lab introduces some of the core concepts of pip.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 6 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: 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: NoSQL, Big Data; This hands-on lab 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