Wednesday, 18 October 2017

Python for Finance: Analyze Big Financial Data

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Description Book Python for Finance: Analyze Big Financial Data


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:Fundamentals: Python data structures, NumPy array handling, time series a

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Download your Python for Finance: Analyze Big Financial Data book in PDF or ePUB format. You can read these on Mac or PC desktop computer, plus many other supperted devices. The free download for Windows or Mac OS take less than a minute to install over a broadband connection.