00000cmm a22000004i 4500 UP-1685594773862447338 Buklod 20220303143243.0 m o u ta 150804s2015 cau u eng d 9781491945391 (ebook) (iLib)UPBAG-00044054851 DLC BAG rda eng GRC-ebook Hilpisch, Yves J. author. Python for finance [electronic resource] mastering data-driven finance Yves Hilpisch. Sebastopol, CA O'Reilly Media [2015] 1 online resource (xv, 586 pages) illustrations text txt rdacontent unmediated rdamedia volume nc rdacarrier "Analyze Big Financial Data"--Cover. Includes bibliographical references and index. The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects of using Python for quantitative finance. Finance Statistical methods Data processing. Financial engineering Data processing. Python (Computer program language) Programming languages (Electronic computers) Available for University of the Philippines Baguio via OER. Click here to access http://portal.igpublish.com/iglibrary/search/EUPB0000319.html (viewed 03 March 2022) FO Monograph UPBAG GRC GRC-ebook Electronic Resource