Chapter 6. Integrating stock data into the F# language
Keith Battocchi
From its initial release, F# has always been a good language for manipulating data. The standard F# library provides a wide range of functions that help to reduce the complexity of data-processing tasks. For example, grouping, aggregation, and floating windows can be implemented in a single line of code. F#’s rich libraries, concise syntax, and support for functional programming can significantly reduce the time to market for data-driven applications. Despite these features, many data-access tasks require some amount of boilerplate code.
For example, consider the task of reading historical stock prices from the Yahoo! Finance site, which returns data as a comma-separated value ...
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