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Python for Finance
Second Edition
Apply powerful finance models and quantitative analysis
with Python
Yuxing Yan
BIRMINGHAM - MUMBAI
Python for Finance
Second Edition
Copyright © 2017 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval
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critical articles or reviews.
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However, Packt Publishing cannot guarantee the accuracy of this information.
First published: April 2014
Second edition: June 2017
Production reference: 1270617
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78712-569-8
www.packtpub.com
Credits
Author
Yuxing Yan
Reviewers
Dr. Param Jeet
Nabih Ibrahim Bawazir, M.Sc.
Joran Beasley
Commissioning Editor
Amey Varangaonkar
Acquisition Editor
Tushar Gupta
Content Development Editor
Amrita Noronha
Technical Editor
Akash Patel
Copy Editor
Safis Editing
Indexer
Mariammal Chettiyar
Graphics
Tania Dutta
Production Coordinator
Nilesh Mohite
Cover Work
Nilesh Mohite
Project Coordinator
Shweta H Birwatkar
Proofreader
Safis Editing
About the Author
years, he has been teaching various finance courses at eight universities: McGill
University and Wilfrid Laurier University (in Canada), Nanyang Technological
University (in Singapore), Loyola University of Maryland, UMUC, Hofstra
University, University at Buffalo, and Canisius College (in the US).
Yuxing Yan
graduated from McGill University with a PhD in finance. Over the
His research and teaching areas include: market microstructure, open-source finance
and financial data analytics. He has 22 publications including papers published in
the Journal of Accounting and Finance, Journal of Banking and Finance, Journal
of Empirical Finance, Real Estate Review, Pacific Basin Finance Journal, Applied
Financial Economics, and Annals of Operations Research.
He is good at several computer languages, such as SAS, R, Python, Matlab, and C.
His four books are related to applying two pieces of open-source software to finance:
Python for Finance
(2014),
Python for Finance
(2nd ed., expected 2017), Python for
Finance (Chinese version, expected 2017), and
Financial Modeling Using R
(2016).
In addition, he is an expert on data, especially on financial databases. From 2003 to
2010, he worked at Wharton School as a consultant, helping researchers with their
programs and data issues. In 2007, he published a book titled Financial Databases
(with S.W. Zhu). This book is written in Chinese.
Currently, he is writing a new book called Financial Modeling Using Excel — in an
R-Assisted Learning Environment. The phrase "R-Assisted" distinguishes it from
other similar books related to Excel and financial modeling. New features include
using a huge amount of public data related to economics, finance, and accounting;
an efficient way to retrieve data: 3 seconds for each time series; a free financial
calculator, showing 50 financial formulas instantly, 300 websites, 100 YouTube
videos, 80 references, paperless for homework, midterms, and final exams; easy to
extend for instructors; and especially, no need to learn R.

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