Foundational Python for Data Science

Index

A

anonymous functions, 80

Anscombe, F., 135

apply() method, 132–133

arguments, 30

arrays

broadcasting, 98–99

expanding dimensions, 99–100

changing values in, 91

copies, changing values in, 95

creating, 86–88

one-dimensional, 87

two-dimensional, 88

using reshape method, 88–89

element-by-element operations, 91–92

filtering values, 92–94

indexing, 89–90

matrix operations, 96–97

methods, 95–96

one-dimensional, 87

sequences and, 91

setting type automatically, 97

setting type explicitly, 97–98

slicing, 89–90

two-dimensional, 88

indexing and slicing, 90

views, 94

changing values in, 94

assert statements, 16–17

assignment statements, 17

attributes, 22

axes, 136, 143–144

B

binomial distribution, 105–107

Bokeh, 149–150

Boolean operators, 14, 58 ...