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Hands-on Python for finance

Author: Matt Macarty; Packt Publishing,
Publisher: [Place of publication not identified] : Packt Publishing, 2019.
Edition/Format:   eVideo : Clipart/images/graphics : EnglishView all editions and formats
Summary:
"This hands-on course helps both developers and quantitative analysts to get started with Python, and guides you through the most important aspects of using Python for quantitative finance. You will begin with a primer to Python and its various data structures.Then you will dive into third party libraries. You will work with Python libraries and tools designed specifically for analytical and visualization purposes.  Read more...
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Details

Material Type: Clipart/images/graphics, Internet resource, Videorecording
Document Type: Internet Resource, Computer File, Visual material
All Authors / Contributors: Matt Macarty; Packt Publishing,
OCLC Number: 1096452713
Notes: Title from resource description page (Safari, viewed April 11, 2019).
Performer(s): Presenter, Matt Macarty.
Description: 1 online resource (1 streaming video file (5 hr., 25 min., 24 sec.)) : digital, sound, color
Responsibility: Matt Macarty.

Abstract:

"This hands-on course helps both developers and quantitative analysts to get started with Python, and guides you through the most important aspects of using Python for quantitative finance. You will begin with a primer to Python and its various data structures.Then you will dive into third party libraries. You will work with Python libraries and tools designed specifically for analytical and visualization purposes. Then you will get an overview of cash flow across the timeline. You will also learn concepts like Time Series Evaluation, Forecasting, Linear Regression and also look at crucial aspects like Linear Models, Correlation and portfolio construction. Finally, you will compute Value at Risk (VaR) and simulate portfolio values using Monte Carlo Simulation which is a broader class of computational algorithms. With numerous practical examples through the course, you will develop a full-fledged framework for Monte Carlo, which is a class of computational algorithms and simulation-based derivatives and risk analytics."--Resource description page.

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Primary Entity

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