In this video we go over how to iterate (or loop) over the rows in a Pandas DataFrame using Python. There are many ways to accomplish this and we go over some of the most common methods and how we can improve our performance for even faster results. I also discuss how you can reassign values as we loop through the rows in a DataFrame. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ $15 off Annual Dataquest subscription ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Merch: ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Github link to annotated Jupyter Notebook ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Other helpful links YouTube Videos (Pycon Talks) 1000x faster data manipulation: vectorizing with Pandas and Numpy Sofia Heisler No more sad pandas optimizing pandas code for speed and efficiency PyCon 2017 ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Articles Optimum approach for iterating over a DataFrame @rtjeannier/pandas-101-cont-9d061cb73bfc Crude looping in Pandas, or That Thing You Should Never Ever Do ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 0:00 Intro 0:33 Setup 1:23 5:00 iloc 6:39 Lambda 7:40 8:40 .values