Book Image

Python for Finance

By : Yuxing Yan
Book Image

Python for Finance

By: Yuxing Yan

Overview of this book

A hands-on guide with easy-to-follow examples to help you learn about option theory, quantitative finance, financial modeling, and time series using Python. Python for Finance is perfect for graduate students, practitioners, and application developers who wish to learn how to utilize Python to handle their financial needs. Basic knowledge of Python will be helpful but knowledge of programming is necessary.
Table of Contents (14 chapters)
13
Index

A list of subpackages for SciPy


SciPy has about a dozen subpackages. The following table shows a list of subpackages contained in SciPy:

Subpackage

Description

Cluster

Clustering algorithms

Constants

Physical and mathematical constants

Fftpack

Fast Fourier Transform routines

Integrate

Integration and ordinary differential equation solvers

Interpolate

Interpolation and smoothing splines

Io

Input and output

Linalg

Linear algebra

Ndimage

N-dimensional image processing

Odr

Orthogonal distance regression

optimize

Optimization and root-finding routines

signal

Signal processing

sparse

Sparse matrices and associated routines

spatial

Spatial data structures and algorithms

special

Special functions

stats

Statistical distributions and functions

weave

C