Python for Finance: Analyze Big Financial Data

splrep function, Interpolation

spreadsheets

Excel cell types, Reading from Workbooks

generating xls workbooks, Generating Workbooks (.xls)

generating xlsx workbooks, Generating Workbooks (.xslx)

OpenPyxl library for, Using OpenPyxl

Python libraries for, Basic Spreadsheet Interaction

reading from workbooks, Reading from Workbooks

reading/writing with pandas, Using pandas for Reading and Writing

Spyder

benefits of, Spyder

features of, Spyder

SQL databases

input-output operations with pandas, SQL Database

input-output operations with Python, SQL Databases

square-root diffusion, Square-root diffusion, Simulation of Financial Models, Square-Root

Diffusion, Option Modeling

standard color abbreviations, One-Dimensional Data Set

standard interpreter, Python

standard normally distributed random numbers, Random Number Generation

standard style characters, One-Dimensional Data Set

star import, The Python Ecosystem, Basic Vectorization

static plots, Static Plots

statically typed languages, Basic Data Types

statistics, Statistics–Real Data

Bayesian regression, Statistics, Bayesian Regression–Real Data

focus areas covered, Statistics

normality tests, Statistics–Real-World Data

portfolio theory, Statistics, Portfolio Optimization–Capital Market Line

principal component analysis, Statistics, Principal Component Analysis–Constructing

a PCA Index

statmodels library, Multiple dimensions

stochastic differential equation (SDE), Geometric Brownian motion

stochastic processes, Stochastic Processes–Variance Reduction