![]() ![]() In fact, a lot of data scientists argue that the initial steps of obtaining and cleaning data constitute 80% of the job. Watch it together with the written tutorial to deepen your understanding: Data Cleaning With pandas and NumPyĭata scientists spend a large amount of their time cleaning datasets and getting them down to a form with which they can work. ![]() Watch Now This tutorial has a related video course created by the Real Python team.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |