![]() ![]() Practically all organizations support transferring csv files to SQL Server and other applications. However, some organizations may not support the use of the xp_cmdshell because of the obscurity of rules for managing its secure usage. These prior articles all integrate Python and SQL Server tightly via the xp_cmdshell extended stored procedure. ![]() The destination for each of the scripts is a csv file, which is a commonly used medium for exchanging data between applications.Ī set of previous articles covered different aspects of transferring historical price and volume data from both Yahoo Finance and Google Finance ( here, here, and here) to SQL Server. This article addresses this topic by holding your hand through three Python scripts that grow your understanding of Python scripting and end-of-day data provided by the Yahoo Finance site. Python’s ability to access so much high-value data from the Internet, such as stock prices and volumes, makes it worthwhile to understand how to transfer Internet content gathered by Python for storage and analysis with the aid of applications, such as SQL Server. A succession of three Python scripts progressively adds functionality to grow your capabilities for transferring Yahoo Finance historical price and volume data to a csv file. ![]() This article focuses on enabling you to output end-of-day ticker price and volume data from Yahoo Finance to a csv file. Python’s rich web connectivity capabilities offer a convenient way to collect data from the Internet, and its ability to write csv files provide a medium for sharing collected data. ![]()
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