SKU/Artículo: AMZ-B0CK3M4VX3
Quant_Py: Python for Quantitative Finance
Format:
Paperback
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Disponibilidad:
En stock
En stock
Peso con empaque:
1.61 kg
1.61 kg
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Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
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USA
USA
Sobre este producto
- Step into the dynamic world of quantitative finance with ‘Quant_Py’, teaching python for quantitative finance, authored by a Quant who has worked in Greenwich, CT, and a data scientist and statistician who graduated from Yale University. This comprehensive guide is designed to master the Python programming language and its application in financial analysis. 🔵 Key Lessons: - Master Python Basics: Learn Python syntax, data structures, and libraries to lay a strong foundation. - Financial Data Analysis: Dive deep into Pandas to manipulate and analyze financial data. - Visualization Techniques: Harness Matplotlib and Seaborn to visualize complex financial metrics. - Risk Management: Utilize statistical measures and portfolio optimization techniques to manage risk effectively. - Trading Strategies: Create and backtest trading algorithms with real-world data. - Probability and Simulation: Explore Monte Carlo simulation and other probabilistic methods for financial modeling. - Tackling Overfitting: Learn how to manage the risk of overfitting in your financial models through techniques like Lasso Regression. Whether you're a beginner eager to learn Python from scratch or a seasoned professional looking to expand your toolkit, this book offers a deep dive into the key concepts, techniques, and Python libraries that will empower you to make informed financial decisions. From the foundations of Python syntax and data structures to the complexities of portfolio optimization and risk management, each chapter unravels the intricacies of finance through Python's versatile capabilities. Learn how to analyze and visualize financial data, implement trading strategies, and backtest their performance. Understand the nuances of financial modeling, from regression analysis to managing the ever-present shadow of risk. But this book is not just about theory; it's a hands-on manual packed with real-world examples, code snippets, and practical exercises. By the end of your journey, you'll not only appreciate the profound impact Python has on finance but also be equipped to navigate the ever-evolving landscape of quantitative analysis. Go beyond the numbers; decode the language of finance with Python. Your journey into the world of quantitative finance starts here.
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AR$137.268
49% OFF
AR$70.394
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