Python for Finance: Analyze Big Financial Data

multiple environments for, Anaconda

Quant platform, Python Quant Platform, Derivatives Analytics Library

rapid web application development, Rapid Web Applications–Styling

scientific stack, The Scientific Stack, Technical Analysis

user spectrum, Python User Spectrum

zero-based numbering in, Tuples

Python Quants GmbH

benefits of, Python Quant Platform

features of, Python Quant Platform, Derivatives Analytics Library

Q

quadratures, fixed Gaussian and adaptive, Numerical Integration

Quant platform

benefits of, Python Quant Platform

features of, Python Quant Platform, Derivatives Analytics Library

quantile-quantile (qq) plots, Benchmark Case

queries, Working with Tables

R

random number generation, Generation of Random Numbers on GPUs, Random

Numbers–Random Numbers, Random Number Generation

functions according to distribution laws, Random Numbers

functions for simple, Random Numbers

random variables, Random Variables

rapid web application development

benefits of Python for, Rapid Web Applications

commenting functionality, Core functionality

connection/log in, Core functionality

data modeling, Data Modeling

database infrastructure, Imports and database preliminaries

Flask framework for, Rapid Web Applications

importing libraries, The Python Code

popular frameworks for, Rapid Web Applications

security issues, Core functionality

styling web pages, Styling