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: 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: 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: Calculated Systems; Type: updated hands-on lab; Difficulty: Intermediate; Description: In this lab, you'll learn how to perform K-Means Clustering on a set of data and plot the outcome.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab 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: 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: 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: 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: 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: 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: 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: 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: 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: Calculated Systems; Type: updated hands-on lab; 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: 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: 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