Author: Logan Rakai; Difficulty: Beginner; Description: Run the gauntlet of Python lab challenges that increase in difficulty but are suitable for Python beginners.; Duration: Up to 1 hour and 40 minutes; Content Topics: Development; This learning path has: 5 Lab challenges

Author: Logan Rakai; Difficulty: Beginner; Description: Write code to reverse a given string in this lab challenge.; Duration: Up to 15 minutes; Content Topics: Development; This lab challenge has: 2 Lab steps

Author: Logan Rakai; Difficulty: Beginner; Description: Implement the accumulate operation, which, given a collection and an operation to perform on each element of the collection.; Duration: Up to 20 minutes; Content Topics: Development; This lab challenge has: 2 Lab steps

Author: Thomas Holmes; Difficulty: Beginner; Description: You will put your basic knowledge of Python to work in this lab challenge in order to perform a simple form of data cleansing on text.; Duration: Up to 2 hours and 30 minutes; Content Topics: Development; This lab challenge has: 2 Lab steps

Author: Calculated Systems; Difficulty: Beginner; Description: In this lab you will get started with BigQuery to analyze a large public dataset and use Python to drive insights from it.; Duration: Up to 1 hour; Content Topics: Google Cloud Platform; This hands-on lab has: 2 Lab steps

Author: Ben Lambert; Difficulty: Intermediate; Description: Understanding how to handle exceptions is an essential aspect of Python development. Learn how to create, handle, and raise exceptions in Python through hands-on learning.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 5 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: 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: Intermediate; 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 standard data science requests.; Duration: Up to 1 hour and 30 minutes; Content Topics: Development; This lab challenge has: 2 Lab steps

Author: Ben Lambert; Difficulty: Beginner; Duration: 6 minutes and 1 second; Content Topics: Development; This course has: 1 Lecture

Author: Ben Lambert; Difficulty: Beginner; Duration: 7 minutes and 44 seconds; Content Topics: Development; This course has: 1 Lecture

Author: Ben Lambert; Difficulty: Beginner; Duration: 7 minutes and 27 seconds; Content Topics: Development; This course has: 1 Lecture

Author: Ben Lambert; Difficulty: Beginner; Duration: 8 minutes and 1 second; Content Topics: Development; This course has: 1 Lecture

Author: Ben Lambert; Difficulty: Beginner; Duration: 24 minutes and 52 seconds; Content Topics: Development; This course has: 3 Lectures

Author: Ben Lambert; Difficulty: Beginner; Duration: 6 minutes and 38 seconds; Content Topics: Development; This course has: 1 Lecture

Author: Ben Lambert; Difficulty: Beginner; Duration: 6 minutes and 26 seconds; Content Topics: Development; This course has: 1 Lecture

Author: Ben Lambert; Difficulty: Beginner; Duration: 7 minutes and 5 seconds; Content Topics: Development; This course has: 1 Lecture

Author: Ben Lambert; Difficulty: Beginner; Duration: 4 minutes and 43 seconds; Content Topics: Development; This course has: 1 Lecture

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: 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; 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: 3 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: 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