[PDF.26ex] Python for Finance: Analyze Big Financial Data
Download PDF | ePub | DOC | audiobook | ebooks
Home -> Python for Finance: Analyze Big Financial Data Download
Python for Finance: Analyze Big Financial Data
Yves Hilpisch
[PDF.wa11] Python for Finance: Analyze Big Financial Data
Python for Finance: Analyze Yves Hilpisch epub Python for Finance: Analyze Yves Hilpisch pdf download Python for Finance: Analyze Yves Hilpisch pdf file Python for Finance: Analyze Yves Hilpisch audiobook Python for Finance: Analyze Yves Hilpisch book review Python for Finance: Analyze Yves Hilpisch summary
| #41819 in Books | imusti | 2014-12-27 | Original language:English | PDF # 1 | 9.17 x1.22 x7.01l,.0 | File type: PDF | 606 pages | O Reilly Media||23 of 25 people found the following review helpful.| Suitable Financial Resource But Needs Work On Python Parts|By William P Ross|This book addresses a niche audience who is experienced in financial analysis but has little programming experience. In the first few chapters we are introduced to Python and why it has become popular in the financial field. Some sample code is shown for how you would setup an options simulation usin|About the Author|
|Yves Hilpisch is the founder and managing partner of The Python Quants, an analytics software provider and financial engineering group. The Python Quants offer, among others, the Python Quant Platform (http://quant-platform.com) and DX Ana
The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects of using Python for quantitative finance.
Using practical examples through the book, author Yves Hilpisch also shows you how to...
You easily download any file type for your device.Python for Finance: Analyze Big Financial Data | Yves Hilpisch. I was recommended this book by a dear friend of mine.
