Author: Ben Lambert; Difficulty: Beginner; Duration: 14 minutes; Content Topics: Development; This course has: 1 Lecture

Author: Ben Lambert; Difficulty: Beginner; Duration: 7 minutes and 24 seconds; Content Topics: Development; This course has: 1 Lecture

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: Convert a number into a string that contains raindrop sounds corresponding to certain potential factors 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: 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: This challenge provides you with several Python programming tasks to complete from a browser IDE. Complete all the checks before time runs out.; Duration: Up to 1 hour and 2 minutes; Content Topics: Development; This lab challenge has: 2 Lab steps

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

Author: Andrea Giussani; Difficulty: Intermediate; Duration: 1 hour and 21 minutes; Content Topics: Data Engineering, Data Transformation; This course has: 8 Lectures

Author: Ben Lambert; Difficulty: Beginner; Duration: 11 minutes and 19 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: 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: Andrea Giussani; Difficulty: Beginner; Description: The goal of this lab is to consolidate your data management and manipulation skills using Python.; Duration: Up to 1 hour; Content Topics: Development, Analytics; 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: 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; Type: updated hands-on lab; 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: Advanced; Description: SQLAlchemy is a module designed to provide better developer ergonomics for database access and interactions. Learn how to interact with relational databases in Python with SQLAlchemy.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 7 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: 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: 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: 7 minutes and 44 seconds; Content Topics: Development; This course has: 1 Lecture

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: 4 minutes and 43 seconds; Content Topics: Development; This course has: 1 Lecture