NumPyOne-dimensional ArraysMulti-dimensional ArraysGetting Basic Information about an ArrayNumPy Arrays Compared to Python ListsUniversal FunctionsModifying Parts of an ArrayAdding a Row Vector to All RowsRandom Sampling
One-dimensional Arrays
Multi-dimensional Arrays
Getting Basic Information about an Array
NumPy Arrays Compared to Python Lists
Universal Functions
Modifying Parts of an Array
Adding a Row Vector to All Rows
Random Sampling
PandasSeries and DataFramesAccessing Elements from a SeriesSeries AlignmentComparing One Series with AnotherElement-wise OperationsCreating a DataFrame from a NumPy ArrayCreating a DataFrame from SeriesCreating a DataFrame from a CSVGetting Columns and RowsCleaning DataCombining Row and Column SelectionScalar Data: at[] and iat[]Boolean SelectionPlotting with matplotlib
Series and DataFrames
Accessing Elements from a Series
Series Alignment
Comparing One Series with Another
Element-wise Operations
Creating a DataFrame from a NumPy Array
Creating a DataFrame from Series
Creating a DataFrame from a CSV
Getting Columns and Rows
Cleaning Data
Combining Row and Column Selection
Scalar Data: at[] and iat[]
Boolean Selection
Plotting with matplotlib

Basic Python programming experience. In particular working with strings; working with lists, tuples and dictionaries; loops and conditionals; and writing your own functions.