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  • Search: subject:"Python <Programmiersprache>"
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Year of publication
Subject
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Python <Programmiersprache> 14 Programmiersprache 6 Programming language 6 Theorie 4 Theory 4 Artificial intelligence 3 Finanzmathematik 3 Künstliche Intelligenz 3 Simulation 3 Data Mining 2 Datenanalyse 2 Econophysics 2 Soziophysik 2 Statistical method 2 Statistische Methode 2 Ökonophysik 2 Befehlsvorrat 1 Berechnung 1 Bergbau 1 Betriebliches Informationssystem 1 Bewertung 1 Binomialbaum 1 Black-Scholes-Modell 1 Bootstrap approach 1 Bootstrap-Statistik 1 Bootstrap-Verfahren 1 Business analysis 1 Business process management 1 Börsenhandel 1 Calculation 1 Capital market returns 1 Data mining 1 Decision theory 1 Deep Learning 1 Derivat 1 Derivat <Wertpapier> 1 Derivative 1 Entscheidungstheorie 1 Evaluation 1 Finanzierung 1
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Undetermined 7
Type of publication
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Book / Working Paper 14
Type of publication (narrower categories)
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Einführung 1 Lehrbuch 1 Textbook 1
Language
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English 14
Author
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Cunha, Carlo Requião da 2 Beazley, David M. 1 Bittmann, Felix 1 Bruce, Peter C. 1 Brugière, Pierre 1 Calogero, Simone 1 Costa, Vera 1 Essa, Alfred 1 Ferreira, Diogo R. 1 Gedeck, Peter 1 Hilpisch, Yves 1 Kaabar, Sofien 1 Kanungo, Deepak K. 1 Mojarad, Shirin 1 Patel, Nitin R. 1 Rogel-Salazar, Jesús 1 Sarmento, Rui 1 Shmueli, Galit 1
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Published in...
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Chapman and Hall/CRC Data Mining and Knowledge Discovery Ser. 1 Developer's library 1 Other titles in applied mathematics 1 Springer eBook Collection / Business and Management 1 Springer texts in business and economics 1 SpringerBriefs in Information Systems 1 SpringerLink / Bücher 1 The Wiley finance series 1
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Source
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ECONIS (ZBW) 14
Showing 11 - 14 of 14
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Comparative approaches to using R and Python for statistical data analysis
Sarmento, Rui; Costa, Vera - 2017
"This book is a comprehensive source of emerging research and perspectives on the latest computer software and available languages for the visualization of statistical data. By providing insights on relevant topics, such as inference, factor analysis, and linear regression"--Provided by publisher.
Persistent link: https://www.econbiz.de/10012393569
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A Primer on Process Mining : Practical Skills with Python and Graphviz
Ferreira, Diogo R. - 2017
The main goal of this book is to explain the core ideas of process mining, and to demonstrate how they can be implemented using just some basic tools that are available to any computer scientist or data scientist. It describes how to analyze event logs in order to discover the behavior of...
Persistent link: https://www.econbiz.de/10012398334
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Derivatives analytics with Python : data analysis, models, simulation, calibration and hedging
Hilpisch, Yves - 2015
"Supercharge options analytics and hedging using the power of Python Derivatives Analytics with Python shows you how to implement market-consistent valuation and hedging approaches using advanced financial models, efficient numerical techniques, and the powerful capabilities of the Python...
Persistent link: https://www.econbiz.de/10011294381
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Python : essential reference
Beazley, David M. - 2009 - 4. ed., 1. print.
Persistent link: https://www.econbiz.de/10011364736
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