Search Results for "xlrd module python"
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Showing 5 open source projects for "xlrd module python"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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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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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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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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