Python for finance cookbook : over 50 recipes for applying modern Python libraries to finance data analysis

Book Cover
Average Rating
Author
Lewinson, Eryk,
Published
Birmingham, UK : Packt, 2020.
Status
Available Online

Description

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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Format
Language
English
ISBN
1789617324, 9781789617320

Notes

Description
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.
Local note
O'Reilly O'Reilly Online Learning: Academic/Public Library Edition

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Citations

APA Citation, 7th Edition (style guide)

Lewinson, E. (2020). Python for finance cookbook: over 50 recipes for applying modern Python libraries to finance data analysis . Packt.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Lewinson, Eryk. 2020. Python for Finance Cookbook: Over 50 Recipes for Applying Modern Python Libraries to Finance Data Analysis. Birmingham, UK: Packt.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Lewinson, Eryk. Python for Finance Cookbook: Over 50 Recipes for Applying Modern Python Libraries to Finance Data Analysis Birmingham, UK: Packt, 2020.

Harvard Citation (style guide)

Lewinson, E. (2020). Python for finance cookbook: over 50 recipes for applying modern python libraries to finance data analysis. Birmingham, UK: Packt.

MLA Citation, 9th Edition (style guide)

Lewinson, Eryk. Python for Finance Cookbook: Over 50 Recipes for Applying Modern Python Libraries to Finance Data Analysis Packt, 2020.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work ID
712f57aa-e2bd-2d94-8fe5-848dd88069ae-eng
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Grouping Information

Grouped Work ID712f57aa-e2bd-2d94-8fe5-848dd88069ae-eng
Full titlepython for finance cookbook over 50 recipes for applying modern python libraries to finance data analysis
Authorlewinson eryk
Grouping Categorybook
Last Update2025-01-24 12:33:29PM
Last Indexed2025-05-22 03:21:58AM

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Last UsedFeb 1, 2025

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5050 |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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