Python for Finance /

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Bibliografiske detaljer
Hovedforfatter:	Hilpisch, Yves (autor)
Format:	Bog
Sprog:	engelsk
Fag:	Series de Tiempo Procesos Estocásticos Estadística Bayesiana Fluctuaciones Económicas Modelos Matemáticos Modelos Econométricos Finanzas - > Tema Principal Ingeniería Financiera Lenguajes de Programación - > Tema Principal Programación Orientada a Objetos Programación (Software) Economía
Online adgang:	Ver documento en línea
Tags:	Tilføj Tag finance 1

Lignende værker: Python for Finance /

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Python for Finance : Mastering Data-Driven Finance /
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Python for Finance : Build Real-Life Python Applications for Quantitative Finance and Financial Engineering /
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Mastering Python for Finance : Understand, Design, and Implement State-of-the-Art Mathematical and Statistical Applications Used in Finance with Python /
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Financial Modelling in Python /
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Derivatives Analytics with Python : Data Analysis, Models, Simulation, Calibration and Hedging /
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Bayesian Modeling and Computation in Python /
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Mastering Pandas for Finance : Master Pandas, an Open Source Python Data Analysis Library, for Financial Data Analysis /
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Bayesian Analysis with Python : Unleash the Power and Flexibility of the Bayesian Framework /
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Bayesian Analysis with Python : A Practical Guide to Probabilistic Modeling /
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Numerical Python : A Practical Techniques Approach for Industry /
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Deterministic and Stochastic Topics in Computational Finance /
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Optimization Methods in Finance /
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Optimization Methods in Finance /
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Forecasting : Principles and Practice /
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Mastering Pandas : Master the Features and Capabilities of Pandas, a Data Analysis Toolkit for Python /
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Introducción a la microeconometría básica con aplicaciones en R /
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Essentials of Stochastic Finance : Facts, Models, Theory /
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Essentials of Stochastic Finance : Facts, Models, Theory /
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An Introduction to Statistical Learning : With Applications in R /
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An Introduction to Statistical Learning : With Applications in R /
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An Introduction to Statistical Learning : With Applications in Python /
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An Introduction to Statistical Learning : With Applications in R /
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An Introduction to Statistical Learning : With Applications in R /
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Fluent Python /