Random Jupyter Notebook Tasks

Store an object into a variable

print three variables

import libraries

make a list

make an array

make a series

code for a dtype and identify the datatype

create a dataframe with only column names

get the summary for the dataframe with only column names

make a series with values and indexes

make a dataframe with variables

create an empty dataframe, create a dictionary of data, convert the dictionary of data into a new dataframe, then concatenate both dataframes

use the df.join function

rename a column in any dataframe created before

import the JOJO[1].csv file

display a certain amount of rows/columns

reset all the other pandas options done before (if applicable)

type a 

takes your original DataFrame, lists all its columns and data types, and builds a new table that describes each column — including its name, type, description, and source (data specifics)

go to a random notebook and scroll to a random line of code and decipher what is happening

multiply one column by the reciprocal of another column from the same dataframe