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Applied NumPy for Finance
Quantitative Analysis and Modeling in Python
NumPy is the foundation of modern numerical computing in Python - and a powerful tool in the hands of quantitative finance professionals.
Applied NumPy for Finance is a practical guide to using NumPy for fast, efficient, and scalable financial analysis. Whether you're building pricing models, analyzing time series, or optimizing portfolios, this book shows you how to leverage vectorized operations and high-performance arrays to write clean, production-ready code.
Inside, you'll learn how to:Work with NumPy arrays for structured financial dataPerform efficient vectorized calculations for returns, risk, and pricingBuild Monte Carlo simulations and factor-based modelsApply matrix algebra in portfolio optimization and asset pricingAccelerate backtesting and large-scale financial computationsIntegrate NumPy with Pandas, MatDescriptionlib, and other key librariesIdeal for financial analysts, quant researchers, developers, and students, this book delivers the tools and techniques you need to take your quantitative finance skills to the next level - powered by Python and NumPy.
Write faster code. Build smarter models. Work like a quant.