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Applied NumPy for Finance: Quantitative Analysis and Modeling in Python
Reactive Publishing
Applied NumPy for FinanceQuantitative 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
Work with NumPy arrays for structured financial data
Perform efficient vectorized calculations for returns, risk, and pricing
Build Monte Carlo simulations and factor-based models
Apply matrix algebra in portfolio optimization and asset pricing
Accelerate backtesting and large-scale financial computations
Integrate NumPy with Pandas, Matplotlib, and other key libraries
Ideal 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.
Applied NumPy for FinanceQuantitative 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
Work with NumPy arrays for structured financial data
Perform efficient vectorized calculations for returns, risk, and pricing
Build Monte Carlo simulations and factor-based models
Apply matrix algebra in portfolio optimization and asset pricing
Accelerate backtesting and large-scale financial computations
Integrate NumPy with Pandas, Matplotlib, and other key libraries
Ideal 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.
583 pages, Kindle Edition
Published March 25, 2025
1 person is currently reading
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