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Nowadays, finance, mathematics, and programming are intrinsically linked. This book provides the relevant foundations of each discipline to give you the major tools you need to get started in the world of computational finance.
Using an approach where mathematical concepts provide the common background against which financial ideas and programming techniques are learned, this practical guide teaches you the basics of financial economics. Written by the best-selling author of Python for Finance, Yves Hilpisch, Financial Theory with Python explains financial, mathematical, and Python programming concepts in an integrative manner so that the interdisciplinary concepts reinforce each other.
Draw upon mathematics to learn the foundations of financial theory and Python programming Learn about financial theory, financial data modeling, and the use of Python for computational finance Leverage simple economic models to better understand basic notions of finance and Python programming concepts Use both static and dynamic financial modeling to address fundamental problems in finance, such as pricing, decision-making, equilibrium, and asset allocation Learn the basics of Python packages useful for financial modeling, such as NumPy, pandas, Matplotlib, and SymPy
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Publisher : O’Reilly Media
Publication date : November 2, 2021
Edition : 1st
Language : English
Print length : 201 pages
ISBN-10 : 1098104358
ISBN-13 : 978-1098104351
Item Weight : 2.31 pounds
Dimensions : 6.75 x 0.5 x 8.75 inches
Best Sellers Rank: #1,226,397 in Books (See Top 100 in Books) #248 in Data Modeling & Design (Books) #584 in Theory of Economics #623 in Python Programming
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