Download EBOOK Python for Finance: Analyze Big Financial Data PDF for free


Download EBOOK Python for Finance: Analyze Big Financial Data PDF for free Category: Computing
The author of the book: Yves Hilpisch
Format files: PDF, EPUB, TXT, DOCX
The size of the: 8.63 MB
Language: English
ISBN-13: 9781491945285
Edition: O'Reilly Media, Inc, USA
Date of issue: 15 January 2015

Description of the 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 PDF 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 ePub Web technologies

Download EBOOK Python for Finance: Analyze Big Financial Data PDF for free


Reviews of the Python for Finance: Analyze Big Financial Data

Thus far about the book we now have Python for Finance: Analyze Big Financial Data suggestions end users have never but still left their article on the sport, or not see clearly still. Yet, for those who have currently see this guide and you really are willing to help make his or her findings convincingly expect you to hang around to leave an overview on our site (we are able to distribute the two bad and the good reviews). Quite simply, "freedom of speech" We all wholeheartedly reinforced. Your comments to reserve Python for Finance: Analyze Big Financial Data - different viewers can decide in regards to a e-book. This sort of guidance can make us all more United!


Yves Hilpisch

Unfortunately, at the moment we don't possess any information about the particular artisan Yves Hilpisch. Nonetheless, we would get pleasure from for those who have any kind of information about the idea, and so are wanting to give the idea. Post the idea to us! The ways to access every one of the look at, and if every detail usually are real, we shall post on the website. It is significant for individuals that genuine regarding Yves Hilpisch. We all many thanks ahead of time for being ready to head to meet up with all of us!

Download EBOOK Python for Finance: Analyze Big Financial Data PDF for free



Download EBOOK Python for Finance: Analyze Big Financial Data for free

Download PDF: python-for-finance-analyze-big-financial-data.pdf Download Python for Finance: Analyze Big Financial Data PDF
 
Download ePUB: python-for-finance-analyze-big-financial-data.epub Download Python for Finance: Analyze Big Financial Data ePUB
 
Download TXT: python-for-finance-analyze-big-financial-data.txt Download Python for Finance: Analyze Big Financial Data TXT
 
Download DOCX: python-for-finance-analyze-big-financial-data.docx Download Python for Finance: Analyze Big Financial Data DOCX



Leave a Comment Python for Finance: Analyze Big Financial Data