Python pandas—Getting and Knowing Exercise—World Food Facts

Sometimes we learn best by doing. Unlike my other videos, I’ll be going through these exercises cold. Sometimes we’ll encounter ambiguous questions, and sometimes I'll be wrong. Learning from our mistakes can be a powerful teacher. So, it’s OK to be wrong now, because we’ll know how to avoid it next time when it counts.

My hope is that you will learn by doing. Why don’t you proceed through the linked exercises before we walk through them together?

This series can be viewed in tandem with my “An Opinionated Guide to pandas“ video series (links below), but it’s not required.

This series is beginner-friendly but aimed most directly at intermediate users.

This Learning by Doing is part of the pandas intro to data structures:

[rishabhdutt]

i though that cap is your signature as it was there in last 2 videos 😂

[FIBONACCIVEGA]

I really love the way to explain . Just I would like to ask if you have any vide with interpretation of the plots . For example boxplot interpretation quit answers of western about this data. Thank for all.

[arhataria]

Things I learned from this lecture:
df[['a']].info()
*info() only works on a full data frame
*df[['a']] -> double brackets return a full data frame

[pablodzch]

I found it interesting that in this one, with such a big dataset, most of the tasks were pretty simple. I'll try to find more interesting stuff to do to this dataset

[ivanbessarabov]

Small corrections. You have named the dataframe 'df', when the exercise says that is should be called 'food'. You are saying (2:37) that the default for head() is 10, but it is 5.

[akashthoriya]

Thank you for contributing valuable content;
Please make new series on matplotlib or seaborn.
It'll be a helpful.