https://www.khanacademy.org/computing/intro-to-python-fundamentals/x5279a44ae0ab15d6:analyzing-data-with-dictionaries/x5279a44ae0ab15d6:nested-iteration/a/data-records 2025-07-16T01:57:58.023322818Z Data records Represent rows of data as a list of dictionaries and practice iterating over them. article https://www.khanacademy.org/computing/intro-to-python-fundamentals/x5279a44ae0ab15d6:analyzing-data-with-dictionaries/x5279a44ae0ab15d6:nested-iteration/v/2d-lists 2025-07-16T02:12:34.26797741Z 2D lists Nested lists can model game boards, images, matrices, and more! Learn how to access the rows and columns of a 2D list. Use nested for loops to iterate over every element, in order. View the program used in this video at: https://www.khanacademy.org/python-program/2d-lists/5297593753124864 Kim Merrill video https://cdn.kastatic.org/ka_thumbnails_cache/a7baf398-2b72-4c9d-bc16-0bb50fce45c4_1280_720_base.png 2D lists Nested lists can model game boards, images, matrices, and more! Learn how to access the rows and columns of a 2D list. Use nested for loops to iterate over every element, in order. View the program used in this video at: https://www.khanacademy.org/python-program/2d-lists/5297593753124864 https://cdn.kastatic.org/ka-youtube-converted/ke79Rj7V6sY.mp4/ke79Rj7V6sY.mp4 391 Nested data in lists https://www.khanacademy.org/computing/intro-to-python-fundamentals/x5279a44ae0ab15d6:analyzing-data-with-dictionaries/x5279a44ae0ab15d6:nested-iteration/e/trace-nested-loops 2025-09-12T02:00:44.915137743Z Trace nested data: lists Trace accesses and updates in lists with nested data. Nathaniel Shak exercise https://www.khanacademy.org/computing/intro-to-python-fundamentals/x5279a44ae0ab15d6:analyzing-data-with-dictionaries/x5279a44ae0ab15d6:nested-iteration/v/program-design-emergency-response 2025-07-16T01:57:58.023322818Z Program design: emergency response Code along with a software engineer in this worked example using nested data. Analyze a dataset of emergency response incidents to identify the most common incident types and busiest hours of the day. Iterate over a list of dictionaries and apply data transformation to create new data structures better suited to the use case. View the program used in this video at: https://www.khanacademy.org/python-program/program-design-emergency-response/4505398963978240 Kim Merrill video https://cdn.kastatic.org/ka_thumbnails_cache/8de46d89-b291-43f0-9aa0-6859d671cc5a_1280_720_base.png Program design: emergency response Code along with a software engineer in this worked example using nested data. Analyze a dataset of emergency response incidents to identify the most common incident types and busiest hours of the day. Iterate over a list of dictionaries and apply data transformation to create new data structures better suited to the use case. View the program used in this video at: https://www.khanacademy.org/python-program/program-design-emergency-response/4505398963978240 https://cdn.kastatic.org/ka-youtube-converted/M7vYtN7SZSE.mp4/M7vYtN7SZSE.mp4 386 Nested data in lists https://www.khanacademy.org/computing/intro-to-python-fundamentals/x5279a44ae0ab15d6:analyzing-data-with-dictionaries/x5279a44ae0ab15d6:nested-iteration/pc/challenge-listening-habits 2025-07-29T19:28:49.952904537Z Challenge: Listening habits Practice accessing nested data in a list to generate a personalized summary of a user's monthly music streams. challenge