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Showing 4 open source projects for "https c lib"
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Earn up to 15% annual interest with Nexo.Generate interest, access liquidity without selling, and execute trades seamlessly. All in one platform. Geographic restrictions, eligibility, and terms apply.
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Earn up to 15% annual interest with Nexo.Generate interest, borrow against your crypto, and trade a range of cryptocurrencies — all in one platform. Geographic restrictions, eligibility, and terms apply.
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PythonQt
Dynamic Python binding for Qt Applications
NOTE: PythonQt has been moved to https://github.com/MeVisLab/pythonqt PythonQt is a dynamic and lightweight script binding of the Qt framework to the Python language. It can be easily embedded into Qt applications and makes any QObject derived object scriptable via Python without the need of wrapper code generation. -
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FortWrap is a python script that parses Fortran 90/95/200X source files and generates wrapper code in the form of C++ classes. FortWrap is intended to be used with object oriented Fortran code that makes use of Fortran derived types. Project has moved to: https://github.com/mcfarljm/fortwrap
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math lib for .NET. n-dim arrays, complex numbers, linear algebra, FFT, sorting, cells- and logical arrays as well as 3D plotting classes help developing algorithms on every platform supporting .NET. Sources from SVN, binaries: http://ilnumerics.net
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Voodoo-Mock is a framework for `mock objects' based unit testing in C++. Written in perl, Voodoo-Mock parses C++ code, and generates redirection and mock classes. Voodoo-Mock can be used with test suite frameworks such as CXXTest or CPPUnit. repo now stored @github: https://github.com/shlomimatichin/Voodoo-Mock
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SoftCo: Enterprise Invoice and P2P Automation SoftwareSoftCo Accounts Payable Automation processes all PO and non-PO supplier invoices electronically from capture and matching through to invoice approval and query management. SoftCoAP delivers unparalleled touchless automation by embedding AI across matching, coding, routing, and exception handling to minimize the number of supplier invoices requiring manual intervention. The result is 89% processing savings, supported by a context-aware AI Assistant that helps users understand exceptions, answer questions, and take the right action faster.
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