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|a UAMI
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|a Hilpisch, Yves J.,
|e author.
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1 |
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|a Python for finance :
|b mastering data-driven finance /
|c Yves Hilpisch.
|
250 |
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|a Second edition.
|
264 |
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1 |
|a Sebastopol, CA :
|b O'Reilly Media,
|c [2019]
|
264 |
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4 |
|c ©2019
|
300 |
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|a 1 online resource (1 volume) :
|b illustrations
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|a text
|b txt
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|a computer
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|a online resource
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|a Online resource; title from title page (Safari, viewed June 12, 2019).
|
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|a Previous edition published: 2014.
|
504 |
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|a Includes bibliographical references and index.
|
505 |
0 |
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|a Part I. Python and Finance; Part II. Mastering the Basics; Part III. Financial Data Science; Part IV. Algorithmic Trading; Part V. Derivatives Analytics; Appendix A. Dates and Times; Appendix B. BSM Option Class.
|
520 |
|
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|a "The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics. Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks."--ProQuest
|
590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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650 |
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0 |
|a Python (Computer program language)
|
650 |
|
0 |
|a Finance
|x Computer programs.
|
650 |
|
0 |
|a Finance
|x Statistical methods
|x Data processing.
|
650 |
|
6 |
|a Python (Langage de programmation)
|
650 |
|
6 |
|a Finances
|x Méthodes statistiques
|x Informatique.
|
650 |
|
7 |
|a Finance
|x Computer programs
|2 fast
|
650 |
|
7 |
|a Python (Computer program language)
|2 fast
|
776 |
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|i Print version:
|a Hilpisch, Yves J.
|t Python for finance.
|b Second edition.
|d Sebastopol, CA : O'Reilly Media, [2019]
|w (DLC) 2020302172
|
856 |
4 |
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|u https://learning.oreilly.com/library/view/~/9781492024323/?ar
|z Texto completo (Requiere registro previo con correo institucional)
|
994 |
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|a 92
|b IZTAP
|