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.
Using practical examples through 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, with topics that include:
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Yves Hilpisch has 10 years of experience with Python, particularly in the finance space. He founded Visixion - an independent, privately-owned analytics software provider and financial engineering boutique. He works as Managing Director Europe for Continuum Analytics, and lectures on Mathematical Finance at Saarland University in Germany.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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