Category:Tailspin: Difference between revisions
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Despite the grounding in business data processing, Tailspin turns out to be fun to use and has been |
Despite the grounding in business data processing, Tailspin turns out to be fun to use and has been |
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used for the [https://adventofcode.com/ adventofcode] events of [https://github.com/tobega/aoc2018 2018] |
used for the [https://adventofcode.com/ adventofcode] events of [https://github.com/tobega/aoc2018 2018] |
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, [https://github.com/tobega/aoc2019 2019] and [https://github.com/tobega/aoc2020 2020] |
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The inspiration comes mostly from xslt, but data structures are json-like. The main idea is to let your data flow through a series of transforms so it should be easy to specify that flow. Transform steps can be specified as a set of templates with pattern-matching determining which template to apply. Output is generally specified as literals with interpolation of values. |
The inspiration comes mostly from xslt, but data structures are json-like. The main idea is to let your data flow through a series of transforms so it should be easy to specify that flow. Transform steps can be specified as a set of templates with pattern-matching determining which template to apply. Output is generally specified as literals with interpolation of values. |
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