Search Results for "python accounting source code" - Page 2
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Showing 34 open source projects for "python accounting source code"
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Dimenso is a library of numeric types for .Net and Java, that obey dimensional analysis and permit calculations with physical quantities. Due to the lack of C++ - like templates with numeric arguments, code generation is employed using Python.
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GUIE (GUI Editor) provides a simple WYSIWYG GUI editor for many dynamic languages. Currently FarPy supports wxPython, wxRuby, wxPerl & IronPython!
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This is a scripting language for the .NET platform, similar to Python. Previously, it had a nice IDE and could run Python code unchanged. This is a from-scratch reimplementation using the dynscript-net project. I hope to reimplement all the old features.
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A collection of reusable software components written in Java, C# and Python including method invocation tracing, filtering and sorting, command line argument parsing/processing, delimited text file processing and application configuration file handling.
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Grafana: The open and composable observability platformGrafana is the open source analytics & monitoring solution for every database.
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COMBuilder is a VB6 app that will allow you to write all COM objects for working with databases. Also, the program will create forms to work with this objects. It is planned to create also c# and vb.net code.
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This XML-based language will allow easy creation and integration of Game Map and Object definitions for any game.
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Infinite Monkeys is a code generator employing random generation and mutation of code to solve programming problems.
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This is project is a refactoring assistant kit. It intends to provide tools and script to help refactor C++ code, replacing our usual search'n'replace by providing some rough code analysis and IDE specific plug-ins for integration.
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An extension of DNN that will allow object relational mapping of DNN objects. This is important for anyone interfacing with DNN in a object relational manor. Also for people using a Web Service Data Access layer.
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Create and run cloud-based virtual machines.Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
