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|a UAMI
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|a Lewinson, Eryk,
|e author.
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|a Python for finance cookbook :
|b over 50 recipes for applying modern Python libraries to finance data analysis /
|c Eryk Lewinson.
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|a Birmingham, UK :
|b Packt,
|c 2020.
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|a 1 online resource
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|a Online resource; title from digital title page (viewed on March 12, 2020).
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|a 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.
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|a 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.
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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|a Finance
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|a Python (Computer program language)
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|a Finances
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