A Gentle Introduction to Effective Computing in Quantitative Research: What Every Research Assistant Should Know (MIT Press)
暫譯: 量化研究中的有效計算簡介:每位研究助理應該知道的事 (MIT Press)

Harry J. Paarsch, Konstantin Golyaev

  • 出版商: MIT
  • 出版日期: 2016-05-13
  • 售價: $2,190
  • 貴賓價: 9.5$2,081
  • 語言: 英文
  • 頁數: 776
  • 裝訂: Hardcover
  • ISBN: 0262034115
  • ISBN-13: 9780262034111
  • 海外代購書籍(需單獨結帳)

商品描述

This book offers a practical guide to the computational methods at the heart of most modern quantitative research. It will be essential reading for research assistants needing hands-on experience; students entering PhD programs in business, economics, and other social or natural sciences; and those seeking quantitative jobs in industry. No background in computer science is assumed; a learner need only have a computer with access to the Internet. Using the example as its principal pedagogical device, the book offers tried-and-true prototypes that illustrate many important computational tasks required in quantitative research. The best way to use the book is to read it at the computer keyboard and learn by doing.

The book begins by introducing basic skills: how to use the operating system, how to organize data, and how to complete simple programming tasks. For its demonstrations, the book uses a UNIX-based operating system and a set of free software tools: the scripting language Python for programming tasks; the database management system SQLite; and the freely available R for statistical computing and graphics. The book goes on to describe particular tasks: analyzing data, implementing commonly used numerical and simulation methods, and creating extensions to Python to reduce cycle time. Finally, the book describes the use of LaTeX, a document markup language and preparation system.

商品描述(中文翻譯)

本書提供了一個實用的指南,介紹大多數現代定量研究核心的計算方法。對於需要實務經驗的研究助理、進入商業、經濟學及其他社會或自然科學博士課程的學生,以及尋求產業中定量工作的人士,這本書都是必讀之作。本書不假設讀者具備計算機科學背景;學習者只需擁有一台可以上網的電腦。書中以範例作為主要教學工具,提供經過驗證的原型,說明在定量研究中所需的許多重要計算任務。使用本書的最佳方式是坐在電腦鍵盤前,透過實作來學習。

本書首先介紹基本技能:如何使用操作系統、如何組織數據,以及如何完成簡單的程式設計任務。為了進行示範,本書使用基於UNIX的操作系統和一組免費的軟體工具:用於程式設計任務的腳本語言Python;數據庫管理系統SQLite;以及免費提供的R語言,用於統計計算和圖形處理。本書接著描述特定任務:數據分析、實現常用的數值和模擬方法,以及創建Python擴展以減少循環時間。最後,本書介紹了LaTeX的使用,這是一種文檔標記語言和準備系統。