Title Statements
- Full title :Python for finance / Yves Hilpisch.
Summary
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.--
Read More ↓Edition Statements
- Publication Date:2015.
- Edition:First edition
Publication Statements
- Publisher(s):O'Reilly Media
- Place of Publication:Sebastopol, CA
- Language:eng
- Publication Date:2015.
Notes
"Analyze Big Financial Data"--Cover.
The Physical Object
- Description:xv, 586 pages : : illustrations ; : 24 cm
Edition Identifiers
- ISBN:9781491945285, 1491945281
- oclc:ocn880566705
- LC Classification:HG176.5
- Dewey Decimal:005.13/3
Table of Contents
Preface -- Part I. Python and finance. Why Python for finance? ; Infrastructure and tools ; Introductory examples -- Part II. Financial analytics and development. Data types and structures ; Data visualization ; Financial time series ; Input/output operations ; Performance Python ; Mathematical tools ; Stochastics ; Statistics ; Excel integration ; Object orientation and graphical user interfaces ; Web integration -- Part III. Derivatives analytics library. Valuation framework ; Simulation of financial models ; Derivatives valuation ; Portfolio valuation ; Volatility options -- A. Selected best practices -- B. Call option class -- C. Dates and times.
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