Financial Theory with Python: A Gentle Introduction (Paperback)

Hilpisch, Yves

  • 出版商: O'Reilly
  • 出版日期: 2021-11-02
  • 定價: $1,960
  • 售價: 9.0$1,764
  • 語言: 英文
  • 頁數: 204
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1098104358
  • ISBN-13: 9781098104351
  • 相關分類: Python程式語言
  • 立即出貨 (庫存 < 3)

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商品描述

Nowadays, finance, mathematics, and programming are intrinsically linked. Financial Theory with Python provides 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, Financial Theory with Python teaches you the basics of financial economics. Written by the best-selling 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.

  • 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
  • Utilize 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

Financial Theory with Python is made available to O'Reilly members in this early release format before it's available to the general public.

商品描述(中文翻譯)

現今,金融、數學和程式設計密不可分。《使用 Python 的金融理論》提供了每個學科的相關基礎,讓您能夠在計算金融領域入門所需的主要工具。

《使用 Python 的金融理論》採用數學概念作為金融理念和程式設計技巧學習的共同背景,教授您金融經濟學的基礎知識。這本實用指南由暢銷書《Python 金融學》的作者 Yves Hilpisch 撰寫,以整合的方式解釋金融、數學和 Python 程式設計概念,使跨學科的概念相互強化。

本書的重點內容包括:
- 利用數學學習金融理論和 Python 程式設計的基礎知識
- 學習金融理論、金融數據建模以及使用 Python 進行計算金融的方法
- 利用簡單的經濟模型更好地理解金融基本概念和 Python 程式設計概念
- 使用靜態和動態金融建模解決金融中的基本問題,如定價、決策、均衡和資產配置
- 學習金融建模中有用的 Python 套件基礎知識,如 NumPy、pandas、Matplotlib 和 SymPy

《使用 Python 的金融理論》在此提供給 O'Reilly 會員的早期版本,比一般公眾提前發布。