Python for Quants. Volume I

Book Description

Python for Quants is the first book-series in the market that takes you from the absolute beginner level in Python programming towards instant applications in Quantitative Analysis, Mathematics, Statistics, Data Analysis, Finance, and Algo Trading. Written with passion, this book of unprecedented quality and in-depth coverage teaches you the essentials of Python that allow you to start coding your ideas, models, and solving complex problems straight away!

Volume I of Python for Quants trilogy is all about making you feel comfortable with Python’s syntax and creativity of object-oriented programming. This Volume does not teach you quantitative finance nor statistics; this is the subject of Volume II and III. It teaches you Python 3.5 (2.7.10 compatible) applied to quantitative problems by great number of individually crafted examples and ready-to-use Python codes.

Volume I Highly Recommended for:

Everyone who starts programming in Python

Quantitative, Financial, and (Big) Data Analysts, Students, Researchers

If You want to replace VBA with Python in Excel

QuantAtRisk Quality of Publishing:

1st Edition, Nov 26th 2015

100+ most useful Python functions

235 quality pages, A4 format, ready for double-side print, colour

50+ solved computational challenges

2000+ lines of Python code

Table of Contents

Chapter 1. Python for Fearful Beginners
Chapter 2. Fundamentals of Python
Chapter 3. Fundamentals of NumPy for Quants

中文：

书名：Quants的巨蟒。第一卷

Python for Quants是市场上第一本将您从Python编程的绝对初学者水平带到定量分析、数学、统计、数据分析、金融和算法交易的即时应用程序的系列书籍。这本书充满激情地写道，这本书具有前所未有的质量和深度覆盖范围，它教会了您使用Python的要点，使您能够立即开始编写您的想法、模型和解决复杂问题！

Quants三部曲的第一卷都是关于让您熟悉Python的语法和面向对象编程的创造力。这本书没有教你定量金融学或统计学；这是第二卷和第三卷的主题。它教你通过大量单独制作的例子和现成的Python代码将Python3.5(2.7.10兼容)应用于定量问题。

我极力推荐的卷有：

开始使用Python编程的所有人

量化、金融和(大数据)分析师、学生、研究人员

如果要在Excel中用Python替换VBA

QuantAtRisk出版质量：

第一版，2015年11月26日

100多个最有用的Python函数

235页高质量页面，A4格式，可供双面打印，彩色

解决了50多项计算挑战

2000+ lines of Python code

目录表

第一章：为害怕的初学者准备的Python
第2章：Python基础知识
第三章.Quants的NumPy基础知识