Search Results for "note for windows 10"
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Showing 4 open source projects for "note for windows 10"
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Boost application security and continuity with SKUDONET ADC, our Open Source Load Balancer, that maximizes IT infrastructure flexibility. Additionally, save up to $470 K per incident with AI and SKUDONET solutions, further enhancing your organization’s risk management and cost-efficiency strategies.
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YesEvents offers a comprehensive suite of services that spans the entire conference lifecycle and ensures every detail is executed with precision. Our commitment to exceptional customer service extends beyond conventional boundaries, consistently exceeding expectations and enriching both organizer and attendee experiences.
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Expat XML Parser
Fast XML parser library in C
PLEASE NOTE that we are in the process of moving to GitHub: https://github.com/libexpat/libexpat This is James Clark's Expat XML parser library in C. It is a stream oriented parser that requires setting handlers to deal with the structure that the parser discovers in the document. PLEASE NOTE that we are in the process of moving to GitHub: https://github.com/libexpat/libexpat -
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TinyXML is a simple, small, minimal, C++ XML parser that can be easily integrating into other programs. It reads XML and creates C++ objects representing the XML document. The objects can be manipulated, changed, and saved again as XML. *Please Note* that TinyXML development has stopped and all development has moved to TinyXML-2. TinyXML-2 is available at https://github.com/leethomason/tinyxml2
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SkinCalc/RPN is a skinnable RPN desktop calculator for Windows 95/98/NT/2000/XP. SkinCalc buttons are re-programmable from VBScript. Note: The Microsoft XML Parser 4 (MSXML) and SDK must be installed.
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eXML is a XML Parser Framework for Eiffel. It features a native Eiffel parser and expat (using a C-bridge). Please note that we are using the mailing list at http://www.egroups.com/group/exml (and not the one on SF)
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BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
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