Category:Tailspin: Difference between revisions
(Update tailspin language description) |
mNo edit summary |
||
| Line 11: | Line 11: | ||
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 |
||
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] |
||
, [https://github.com/tobega/aoc2019 2019] and [https://github.com/tobega/aoc2020 2020] |
|||
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. |
||
Latest revision as of 16:23, 8 April 2021
This programming language may be used to instruct a computer to perform a task.
| Official website |
|---|
| Lang tag(s): | tailspin |
|---|---|
| See Also: |
|
Tailspin simplifies data transfer and the processing of data according to rules and conditions. Thanks to its declarative data structures and corresponding condition matching syntax, many algorithms look exactly like the specification, for example, compare the json parser and the json specification.
Despite the grounding in business data processing, Tailspin turns out to be fun to use and has been used for the adventofcode events of 2018 , 2019 and 2020
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.
Development page, also how to run Tailspin programs on github
Pages in category "Tailspin"
The following 94 pages are in this category, out of 94 total.
A
C
F
J
L
M
R
S
- Sequence of primes by trial division
- Set puzzle
- Sieve of Eratosthenes
- Solve a Hidato puzzle
- Sorting algorithms/Bubble sort
- Sorting algorithms/Pancake sort
- Sorting algorithms/Quicksort
- Sorting algorithms/Radix sort
- Split a character string based on change of character
- Stack
- String comparison
- String concatenation
- String interpolation (included)
- String matching
- Substring
- Sudoku
- Sum of squares