Converting between NumPy and Pandas
Reading and writing CSV files using NumPy and Pandas
Applying user-defined functions to NumPy and Pandas
Adding more data to NumPy arrays and Pandas dataframes
Using Pandas to merge or lookup data
Sorting and ranking with Pandas
Using masks to filter data, and perform search and replace, in NumPy and Pandas
Summarising data by groups in Pandas using pivot_tables and groupby
Reshaping Pandas data with stack, unstack, pivot and melt
Subgrouping data in Pandas with groupby
Iterating through columns and rows in NumPy and Pandas
Removing duplicate data in NumPy and Pandas
Setting width and number of decimal places in NumPy print output
Using NumPy to generate random numbers, or shuffle arrays
Using ‘pop’ to remove a Pandas DataFrame column and transfer to new variable