Python金融大數據分析第2版（影印版）

內容簡介

Python已成為數據驅動和AI優先的金融界的編戒葛灑程語言。一些投資銀行和對沖基金現在都使用Python及其生態系統來構建核心交易和風險管理系統。

　　在《Python金融大數據分析（第2版影印版）》的第二版中，YvesHilpisch向開發人員和定量分析師展示了如何使用Python包和工具進再檔去糠行金融數據科學、算法交易和計算金融學。第二戒判籃版針對Python3進行了更新，其中的大部分踏夜鑽代碼都採用了JupyterNotebooks的形式，全催為幾乎所有的示例提供了可執行互動式版本。在共5部分和墊店內容中，你將學習到Python及其生態系統是如何為從事金融業務的公司和個人提供技術框架危臭主船的。

圖書目錄

Preface

Part 1．Python and Finance

1． Why Python for Finance

The Python Programming Language

A Brief History of Python

The Python Ecosystem

The Python User Spectrum

The Scientific Stack

Technology in Finance

Technology Spending

Technology as Enabler

Technology and Talent as Barriers to Entry

Ever-Increasing Speeds， Frequencies， and Data Volumes

The Rise of Real-Time Analytics

Python for Finance

Finance and Python Syntax

Efficiency and Productivity Through Python

From Prototyping to Production

Data-Driven and AI-First Finance

Data-Driven Finance

AI-First Finance

Conclusion

Further Resources

2． Python Infrastructure

conda as a Package Manager

Installing Miniconda

Basic Operations with conda

conda as a Virtual Environment Manager

Using Docker Containers

Docker Images and Containers

Building an Ubuntu and Python Docker Image

Using Cloud Instances

RSA Public and Private Keys

Jupyter Notebook Configuration File

Installation Script for Python and Jupyter Notebook

Script to Orchestrate the Droplet Setup

Conclusion

Further Resources

Part II．Mastering the Basics

3． Data Types and Structures

Basic Data Types

Integers

Floats

Booleans

Strings

Excursion： Printing and String Replacements

Excursion： Regular Expressions

Basic Data Structures

Tuples

Lists

Excursion： Control Structures

Excursion： Functional Programming

Dicts

Sets

Conclusion

Further Resources

4． Numerical Computing with NumPy

Arrays of Data

Arrays with Python Lists

The Python array Class

Regular NumPy Arrays

Part III． Financial data science

Part IV． Algorithmic Trading

Part V． Derivatives Analytics

Python金融大數據分析第2版（影印版）

基本介紹

內容簡介

圖書目錄

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