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Financial Theory with Python: A Gentle Introduction (Second Early Release)Название: Financial Theory with Python: A Gentle Introduction (Second Early Release)
Автор: Yves Hilpisch
Издательство: O’Reilly Media, Inc.
Год: 2021-08-23
Страниц: 213
Язык: английский
Формат: epub
Размер: 10.1 MB

Using an approach where mathematical concepts provide the common background against which financial ideas and programming techniques are learned, Financial Theory with Python teaches you the basics of financial economics. Written by the bestselling author of Python for Finance, Yves Hilpisch, this practical guide explains financial, mathematical, and Python programming concepts in an integrative manner so that the interdisciplinary concepts reinforce each other.

Technological trends like online trading platforms, open source software, and open financial data have significantly lowered or even completely removed the barriers of entry to the global financial markets. Individuals with only limited amounts of cash at their free disposal can get started, for example, with algorithmic trading within hours. Students and academics in financial disciplines with a little bit of background knowledge in programming can easily apply cutting edge innovations in machine and deep learning to financial data — on the notebooks they bring to their finance classes. On the hardware side, cloud providers offer professional compute and data processing capabilities starting at 5 USD per month, billed by the hour and with almost unlimited scalability. So far, academic and professional finance education has only partly reacted to these trends.

This book teaches both finance and the Python programming language from ground up. Nowadays, finance and programming in general are closely intertwined disciplines, with Python being one of the most widely used programming languages in the financial industry. The book presents all relevant foundations — from mathematics, finance, and programming — in an integrated but not too technical fashion. Traditionally, theoretical finance and computational finance have been more or less separate disciplines. The fact that programming classes (for example, in Python but also in C++) have become an integral part of Master of Financial Engineering and similar university programs shows how important programming skills have become in the field.

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