4.1.1. Python Pandas
Advanced operations on Data Frames: pivoting, sorting, and aggregation
Descriptive statistics: min, max, mode, mean, count, sum, median, quartile, var
Create a histogram, and quantiles.
Function application: pipe, apply, aggregation (group by), transform, and apply map.
Reindexing, and altering labels.
4.1.2. Numpy
1D array, 2D array
Arrays: slices, joins, and subsets
Arithmetic operations on 2D arrays
Covariance, correlation and linear regression
4.1.3. Plotting with Pyplot
Plot bar graphs, histograms, frequency polygons, box plots, and scatter plots.
