Название: Web Scraping Market, Financial and Economic Data Using Python 3, REST Web Services, JSON, Pandas and BeautifulSoup Автор: John Lee
Издательство: Amazon.com Services LLC
Год: 2020
Страниц: 292
Язык: английский
Формат: pdf, azw
Размер: 122.2 MB
This book will use Python 3.7 and BeautifulSoup to retrieve many different types of market, financial and economic data. The types of market, financial and economic data we will retrieve are stock, market index, currency rates, bonds, futures, mutual funds, electronic traded funds (ETF), commodities, balance sheet, income, statement of cash flow, GDP, consumer price index, unemployment rate, household income, and money supply.
There are two ways to retrieve market data; one of them is web scraping the data; the other is to use the REST web service or REST API that is provided by the web site. Most REST API from government agencies are free. When web scraping, we will use the BeautifulSoup Python library.
People who read this book will need a working knowledge of Python. This book will use the case study approach. This book will not explain Python; instead, readers will study the code to learn different Python techniques and were to get the financial, market, and economic data. Like experience programmers, the reader will google any Python programming concept that needs more clarifications.
This book will use the Visual Studio Code Integrated development environment (IDE) when doing serious development in Python. Visual Studio Code is included with the Anaconda Platform and is part of the Anaconda Navigator.
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