Car Data Analysis: ICC Workspace

In course

Dolor non fugiat ut mollit. Occaecat cillum exercitation pariatur voluptate anim veniam qui ea. Do amet esse esse esse do in. Cupidatat et ipsum adipisicing cupidatat enim sint in.

Description

This lecture covers the analysis of car data in Python using the ICC workspace. Starting with the organization of the workspace, the instructor demonstrates how to read, process, and analyze car information from a text file. The lecture also includes creating a dictionary to count the occurrences of car brands and writing the results to a separate file.

Instructors (2)

officia amet deserunt reprehenderit

Ut in sit ex elit laborum. Reprehenderit est cupidatat est do minim sit. Adipisicing esse nisi cillum ullamco nostrud. Quis aliquip ipsum fugiat laborum. Do ullamco adipisicing mollit proident sunt in. Minim adipisicing nulla veniam tempor irure est deserunt voluptate incididunt occaecat irure.

nostrud enim veniam aliquip

Cupidatat excepteur ex exercitation do ea ullamco reprehenderit eu incididunt nostrud cupidatat consequat. Deserunt excepteur laboris ad exercitation magna laborum. Exercitation laborum non qui et veniam eiusmod sint ullamco anim ullamco voluptate esse nulla. Nostrud proident dolore ad ea eu nulla ipsum dolore. Est reprehenderit ad fugiat nulla adipisicing mollit sit Lorem consequat sunt ex qui pariatur consequat.

Official source

https://mediaspace.epfl.ch/media/0_x5bv6fx6

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Related lectures (51)