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Showing 4 open source projects for "tutorial"
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Go from Data Warehouse to Data and AI platform with BigQueryBigQuery is more than a data warehouse—it's an autonomous data-to-AI platform. Use familiar SQL to train ML models, run time-series forecasts, and generate AI-powered insights with native Gemini integration. Built-in agents handle data engineering and data science workflows automatically. Get $300 in free credit, query 1 TB, and store 10 GB free monthly.
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99.99% Uptime for MySQL and PostgreSQL on Google CloudCloud SQL Enterprise Plus gives you a 99.99% availability SLA with near-zero downtime maintenance—typically under 10 seconds. Get 2x better read/write performance, intelligent data caching, and 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server with built-in vector search for gen AI apps. New customers get $300 in free credit.
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NaiveLanguageTools
C# lexer and parser
...If you understand/guess the meaning of grammar in C#: // scanning lexer.AddStringRule(")", match => SymbolEnum.RPAREN); // parsing prod_builder.AddProduction(SymbolEnum.exp, SymbolEnum.LPAREN, SymbolEnum.exp, SymbolEnum.RPAREN, (_1, e, _3) => (AstNode)e); or grammar in NLT format: // scanning /[A-Za-z_][A-Za-z_0-9]*/ -> IDENTIFIER, IdentifierSymbol.Create($text); // parsing program -> list:namespace_list { new Program(currCoords(), (Namespaces)list) }; you should be able to use it :-). There is Example project included which serves as tutorial. -
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I did what any real geek would do; I have written a compiler compiler. It is called Language Processor. A software that you can feed in a language definition with its semantic and you get an object that can run your program in your defined language.
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This tutorial demonstrates how easy it is to accomplish real world programming goals with Rebol. The text aims to teach average users to program computers to do useful things, without the long and difficult learning curve imposed by other languages.
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