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

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

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: 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: 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: 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: 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: 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: 8 minutes and 1 second; 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: 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: 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