Financial Modelling in Python

P1: JYS

Ind JWBK378-Fletcher May 23, 2009 6:5 Printer: Yet to come

Index 233

standard libraries 1

structure misconceptions 2–3

tuples 131, 195–7, 200–1, 215

visualisation software integration 2

whirlwind tour 193–205

white space uses 198–200

Python Distutils package 9

Python Programming on Win32 (Hammond &

Robinson) 165

Python Scripting for Computational Science

(Langtangen) 2

python.hpp 214–15

python -i command 193

PyUnit testing module, concepts 6–7, 9

quadratic roots, concepts 3, 46–9

quadratic

fo 132–42

quadratic

roots 46–9

quantitative analysis 1–4, 27–61, 123–43,

165–89

raise 15–16, 30–1, 35–6, 40–1, 43–5, 50–8,

66–7, 78, 81–3, 85–7, 88, 89, 91, 98, 102,

105–6, 113, 118–19, 131, 133, 134–6,

166–9, 170–6

random 27–8, 45–6

random number generation, concepts 3, 27–8,

45–6, 112–22

random variables, expectation calculations 3,

49–61

range function, Python basics 197–8

ratio 48–9

rcv

flows 89–91, 96–8, 120–2

redemption

cap 153–6

redemption

floor 153–6

reference counts 20–6

references, C++ 212–14

reg

clsid 169–76, 177–87, 188–9

register

com class 169–76

register

date... 11–16, 160–3

register

date more.cpp 160

register

numpy.cpp 23

register

special functions

18–19

reg

progid 169–76, 177–89

regression schemes 4, 132–42, 150–2,

219–20

regression

model 136–42, 150–2

regressions 132–42

regrid 55–61

regridder 58–61

regrid

fs 55–7

regrid

xT 58–61

regrid

yT 58–61

relative

date 66–7, 105–22, 125–8,

146–57

requestor 100–22, 124–8, 129–42, 146–57

requestor component, ...