Python for Finance: Analyze Big Financial Data
In stock
Python for Finance: Analyze Big Financial Data
$10.99
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.
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 Python for Finance: Analyze Big Financial Data
Book Details
- Author: Yves Hilpisch
- ISBN-13: 9781491945285
- ISBN-10: 1491945281
Product Details
You May Also Like
View all →
Advances in Computer Science and Information Technology: First International Conference on Computer Science and Information Technology, CCSIT 2011, Bangalore, India, January 2-4, 2011. Proceedings, Part I
Designing Democracy Re-education and the America Houses (19451961)- The American Information Centers and their Involvement in Democratic: Re-education in Western Germany and West Berlin from 1945 to 1961
Advances in Neuroergonomics and Cognitive Engineering: Proceedings of the AHFE 2016 International Conference on Neuroergonomics and Cognitive Engineering, July 27-31, 2016, Walt Disney World®, Florida, USA
