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Showing 33 open source projects for "python basic project"
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This project exists as a central meeting place for those wishing to share in-house developed applications and tools for local government (and related industries) in Australia.
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The aim of this project is to translate the geostatistical BMELib Matlab Toolbox (http://www.unc.edu/depts/case/BMELIB/) into Python.
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This project provides a library written in Python for reading and eventually writing ISO8211 files. ISO8211 is a format used for various GIS systems (geographic data), including SDTS, the format used by the US Geological Survey.
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Picsart Enterprise Background Removal API for Stunning eCommerce VisualsWith our Remove Background API tool, you can access the transformative capabilities of automation , which will allow you to turn any photo asset into compelling product imagery. With elevated visuals quality on your digital platforms, you can captivate your audience, and therefore achieve higher engagement and sales.
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This project produces an Extension and VBA module that allows ESRIs ArcMap (v8.x) product to access Open Source Postgresql/PostGIS spatial data tables. Includes importing tables and exporting/updating back to the database. Currently using Postgresql OD
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Ytk is a Tcl/Tk program which adds menus, buttons and features to the basic command line driven Yorick program and language. It also enables usage of all Tcl/Tk widgets and functions including buttons, sliders, checkboxes, and other typical TK widgets to
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Continuing development and support of KB2SCS's APRS program. The project goal is to replace the .OCX controls that will NOT work under Vista, AND port the program to .NET
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geoscipy
Python-accessible toolkit for Geoscience & Remote Sensing Applications
..., and provide functions for reading and writing data to such files. There is also a Python API that provides a procedural as well as an object-oriented interface to these functions. A Python GUI for interacting with such datasets is also part of the project. While there are other open-source GIS, and image-processing packages available, this one is designed to be comprehensive, work on 3 major platforms, user-extensible, fast, and able to handle huge datasets. Click the Blog tab for more info.
