Python for finance cookbook : over 50 recipes for applying modern Python libraries to finance data analysis
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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
Grouping Information
| Grouped Work ID | 712f57aa-e2bd-2d94-8fe5-848dd88069ae-eng |
|---|---|
| Full title | python for finance cookbook over 50 recipes for applying modern python libraries to finance data analysis |
| Author | lewinson eryk |
| Grouping Category | book |
| Last Update | 2025-01-24 12:33:29PM |
| Last Indexed | 2025-02-07 03:16:43AM |
Book Cover Information
| Image Source | contentCafe |
|---|---|
| First Loaded | Apr 7, 2023 |
| Last Used | Feb 1, 2025 |
Marc Record
| First Detected | Mar 21, 2023 12:34:32 PM |
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| Last File Modification Time | Dec 17, 2024 08:11:09 AM |
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| 505 | 0 | |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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