《Python金融大數據分析第2版（影印版）》是2019年東南大學出版社出版的圖書，作者是Yves，Hilpisch。
基本介紹
- 中文名：Python金融大數據分析第2版（影印版）
- 作者：Yves，Hilpisch
- 出版社：東南大學出版社
- ISBN：9787564183721
內容簡介,圖書目錄,
內容簡介
Python已成為數據驅動和AI優先的金融界的程式語言。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包和工具進行金融數據科學、算法交易和計算金融學。第二版針對Python3進行了更新，其中的大部分代碼都採用了JupyterNotebooks的形式，為幾乎所有的示例提供了可執行互動式版本。在共5部分內容中，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
