Search Results for "ircbot python module"
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Showing 6 open source projects for "ircbot python module"
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Python Embed C++
Embed C++ in Python source code, dynamically compile and access data
Moved to http://github.com/ftrias/pyembedc Python module to embed C/C++ code within Python source code and scripts. Automatically compile and dynamically link the code. Transparently allow native access to python data from C code and vice versa. Module provides all the "glue" to dynamically convert data types, arrays and structures. -
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Elmer is a tool which embeds a Python module into a C, C++, or Tcl application. The embedded Python module is used just as if it was written in the same language as the application itself, without requiring any knowledge of the Python/C API.
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Python modules that wrap Lev Walkin's asn1c code. ASN.1 notation is translated to C-code and this code is built into python module that can der-encode and -decode structures from ASN.1 description.
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A Python script that parses an SNMP MIB text file and generates a skeleton C source code file that can be used with the LWIP-SNMP to implement a private mib. It depends on the pyparsing-1.5.5 module.
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Incredable is the first DLT-secured platform that allows you to save time, eliminate errors, and ensure your organization is compliant all in one place.Incredable streamlines and simplifies the complex process of medical credentialing for hospitals and medical facilities, helping you save valuable time, reduce costs, and minimize risks. With Incredable, you can effortlessly manage all your healthcare providers and their credentials within a single, unified platform. Our state-of-the-art technology ensures top-notch data security, giving you peace of mind.
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XMLObject gives you an easy way to parse XML into Python objects. The objects created by XMLObject are far easier to manipulate than those made by xml.dom. This project also includes a GUI application, XMLObjApp, to generate XML parsers for you.
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Designed to aid in the conversion of Python modules to C extension modules while keeping the same interface into the module. This will make it easier to convert existing Python code into C code to give it a speed boost without changing to existing code
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