Hands-on Python for finance /

Hands-on Python for finance /

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Bibliographic Details
Author / Creator:Macarty, Matt, speaker.
Imprint:[Place of publication not identified] : Packt Publishing, 2019.
Description:1 online resource (1 streaming video file (5 hr., 25 min., 24 sec.))
Language:English
Subject:
Python (Computer program language)
Finance -- Data processing.
Object-oriented programming (Computer science)
Information visualization.
Finance -- Data processing.
Information visualization.
Object-oriented programming (Computer science)
Python (Computer program language)
Instructional films.
Instructional films.
Format: E-Resource Video
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/13666451
Hidden Bibliographic Details
Other authors / contributors:Packt Publishing, publisher.
Sound characteristics:digital
Digital file characteristics:video file
Notes:Title from resource description page (Safari, viewed April 11, 2019).
Presenter, Matt Macarty.
In English.
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. 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
Standard no.:9781789800975

MARC

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511 0 |a Presenter, Matt Macarty. 
500 |a Title from resource description page (Safari, viewed April 11, 2019). 
520 |a "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 
546 |a In English. 
650 0 |a Python (Computer program language)  |0 http://id.loc.gov/authorities/subjects/sh96008834 
650 0 |a Finance  |x Data processing.  |0 http://id.loc.gov/authorities/subjects/sh2020000036 
650 0 |a Object-oriented programming (Computer science)  |0 http://id.loc.gov/authorities/subjects/sh87007503 
650 0 |a Information visualization.  |0 http://id.loc.gov/authorities/subjects/sh2002000243 
650 6 |a Python (Langage de programmation) 
650 6 |a Finances  |x Informatique. 
650 6 |a Programmation orientée objet (Informatique) 
650 6 |a Visualisation de l'information. 
650 7 |a Finance  |x Data processing.  |2 fast  |0 (OCoLC)fst00924370 
650 7 |a Information visualization.  |2 fast  |0 (OCoLC)fst00973185 
650 7 |a Object-oriented programming (Computer science)  |2 fast  |0 (OCoLC)fst01042804 
650 7 |a Python (Computer program language)  |2 fast  |0 (OCoLC)fst01084736 
655 7 |a Instructional films.  |2 fast  |0 (OCoLC)fst01726236 
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