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Hugo (software) Hugo is a static site generator written in Go. Steve Francia [ 4 ] originally created Hugo as an open source project in 2013. Since v0.14 in 2015, [ 5 ] Hugo has continued development under the lead of Bjørn Erik Pedersen with other contributors. Hugo is licensed under the Apache License 2.0.
Static site generator. Static site generators (SSGs) are software engines that use text input files (such as Markdown, reStructuredText, AsciiDoc and JSON) to generate static web pages. [1] Static sites generated by static site generators do not require a backend after site generation, making them first-class citizens on content delivery ...
Any textual language. DMS Software Reengineering Toolkit. Several code generation DSLs (attribute grammars, tree patterns, source-to-source rewrites) Active. DSLs represented as abstract syntax trees. DSL instance. Well-formed output language code fragments. Any programming language (proven for C, C++, Java, C#, PHP, COBOL) gSOAP.
This is a list of free and open-source software packages, computer software licensed under free software licenses and open-source licenses.Software that fits the Free Software Definition may be more appropriately called free software; the GNU project in particular objects to their works being referred to as open-source. [1]
HTML editors that support What You See Is What You Get paradigm provide a user interface similar to a word processor for creating HTML documents, as an alternative to manual coding. [1] Achieving true WYSIWYG however is not always possible.
The QR code system was invented in 1994, at the Denso Wave automotive products company, in Japan. [5] [6] [7] The initial alternating-square design presented by the team of researchers, headed by Masahiro Hara, was influenced by the black counters and the white counters played on a Go board; [8] the pattern of position detection was found and determined by applying the least-used ratio (1:1:3 ...
Huffman tree generated from the exact frequencies of the text "this is an example of a huffman tree". Encoding the sentence with this code requires 135 (or 147) bits, as opposed to 288 (or 180) bits if 36 characters of 8 (or 5) bits were used (This assumes that the code tree structure is known to the decoder and thus does not need to be counted as part of the transmitted information).
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