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EBOOK
Author Lewinson, Eryk,
Title Python for finance cookbook : over 50 recipes for applying modern Python libraries to finance data analysis / Eryk Lewinson.
Imprint Birmingham, UK : Packt, 2020.

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LOCATION CALL # STATUS MESSAGE
 OHIOLINK SAFARI EBOOKS    ONLINE  
View online
Author Lewinson, Eryk,
Subject Finance -- Mathematical models.
Python (Computer program language)
Finance -- Data processing.
Description 1 online resource
polychrome rdacc
Note Online resource; title from digital title page (viewed on March 12, 2020).
Summary Python is becoming the number one language for data science and also quantitative finance. This book provides you with solutions to common tasks from the intersection of quantitative finance and data science, using modern Python libraries.
Contents Python for finance cookbook: over 50 recipes for applying modern python libraries to financial data analysis -- About the author -- Table of Contents -- Preface -- Chapter 1: Financial Data and Preprocessing -- Chapter 2: Technical Analysis in Python -- Chapter 3: Time Series Modeling -- Chapter 4: Multi-Factor Models -- Chapter 5: Modeling Volatility with GARCH Class Models -- Chapter 6: Monte Carlo Simulations in Finance -- Chapter 7: Asset Allocation in Python -- Chapter 8: Identifying Credit Default with Machine Learning -- Chapter 9: Advanced Machine Learning Models in Finance -- Chapter 10: Deep Learning in Finance -- Other Books You May Enjoy -- Index.
ISBN 1789617324 (electronic book)
9781789617320 (electronic bk.)
1789618517
9781789618518
OCLC # 1139921653
Additional Format Print version: 1789618517 9781789618518 (OCoLC)1135386526


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