Free download and read ebooks online Python For Finance - Analyze Big Financial Data by Yves Hilpisch full book PDF ePUB Audiobook. Download a free ebooks and kindle audiobook Python For Finance - Analyze Big Financial Data with ISBN id 9781491945285 full page with book summary. Yves Hilpisch book PDF ePUB of Python For Finance - Analyze Big Financial Data published by Oreilly & Associates Incorporated in 2014-12-27. Python for Finance released with category Business & Economics with total 606 pages.
Python For Finance - Analyze Big Financial Data by Yves Hilpisch free book pdf
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 analysis with pandas, visualization with matplotlib, high performance I/O operations with PyTables, date/time information handling, and selected best practices Financial topics: mathematical techniques with NumPy, SciPy and SymPy such as regression and optimization; stochastics for Monte Carlo simulation, Value-at-Risk, and Credit-Value-at-Risk calculations; statistics for normality tests, mean-variance portfolio optimization, principal component analysis (PCA), and Bayesian regression Special topics: performance Python for financial algorithms, such as vectorization and parallelization, integrating Python with Excel, and building financial applications based on Web technologies
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“We are all in the gutter, but some of us are looking at the stars.” ― Oscar Wilde
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