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PYTHON FOR FINANCE: ANALYZE BIG FINANCIAL DATA By Yves Hilpisch *Mint Condition* - Picture 1 of 1

Python for Finance : Analyze Big Financial Data by Yves Hilpisch (2015, Trade Paperback)

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PYTHON FOR FINANCE: ANALYZE BIG FINANCIAL DATA By Yves Hilpisch **Mint Condition**.

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Product Information

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

Product Identifiers

Publisher
O'reilly Media, Incorporated
ISBN-10
1491945281
ISBN-13
9781491945285
eBay Product ID (ePID)
201735058

Product Key Features

Author
Yves Hilpisch
Publication Name
Python for Finance : Analyze Big Financial Data
Format
Trade Paperback
Language
English
Publication Year
2015
Type
Textbook
Number of Pages
606 Pages

Dimensions

Item Length
9.2in
Item Height
1.2in
Item Width
7.1in
Item Weight
36.3 Oz

Additional Product Features

Lc Classification Number
Hg173
Copyright Date
2014
Target Audience
Scholarly & Professional
Topic
Finance / Financial Engineering, Finance / General, General, Programming Languages / Python
Lccn
2015-460491
Dewey Decimal
005.13/3
Dewey Edition
23
Illustrated
Yes
Genre
Computers, Business & Economics

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item 1 Python for Finance: Analyze Big Financial Data
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item 2 Python for Finance: Analyze Big Financial Data , ,
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item 3 Python for Finance: Analyze Big Financial Data
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item 4 Python for Finance: Analyze Big Financial Data, Hilpisch, Yves, 9781491945285
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item 6 Python for Finance: Analyze Big - Paperback, by Hilpisch Yves - Very Good
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Python for Finance : Analyze Big Financial Data by Yves Hilpisch (2015, Trade Paperback)

About this product

Product Information

Product Identifiers

Product Key Features

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Additional Product Features

All listings for this product

item 1 Python for Finance: Analyze Big Financial Data

item 2 Python for Finance: Analyze Big Financial Data , ,

item 3 Python for Finance: Analyze Big Financial Data

item 4 Python for Finance: Analyze Big Financial Data, Hilpisch, Yves, 9781491945285

item 5 Python for Finance: Analyze Big Financial Data Hilpisch, Yves Paperback Good

item 6 Python for Finance: Analyze Big - Paperback, by Hilpisch Yves - Very Good

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