Search Results for "python-ldap" - Page 55
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Showing 1457 open source projects for "python-ldap"
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ImageJ is a public domain Java image processing program inspired by NIH Image for the Macintosh. It runs, either as an online applet or as a downloadable application, on any computer with a Java 1.1 or later. HOME @ http://rsb.info.nih.gov/ij/
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This project presents a functional prototype of a new kind of file manager, where the data is auto organized using the semantic content. The Souvenirs system propose a new complete interface for the user and pretend to remplace the "desktop" paradigm.
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Python script for Geocachers. Takes GPX file (eg from Geotoad), downloads waypoints to Garmin Etrex, and produces OpenOffice quick-reference document with the descriptions and hints.
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Chartshare is a computer based system for the production, analysis, and distribution of Standard Celeration Charts (http://www.celeration.org).
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PyOGCLib is a package of classes that implement specifications of the Open GIS Consortium (OGC), allowing Python applications to spatially plug-and-play with other geoprocessing systems.
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Network Visualization is a mature part of computer science that is enjoying a good deal of growth, partially fueled by Bioinformatics. Network is a synonym for Graph, and both refer to a collection of nodes and edges.
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Dairy Herder is a web application that allows dairies to track lineage and production records for their cows. A main goal is to have a pedigree generated for any given animal with the click of a button.
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Modama is a new software project for processing and analysing 2d detector data (images) provided by any available detectors, mainly SAX and WAX.
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Rocksnake takes localities from geological mapping projects and plots them in 2D, over an optional basemap. Each locality has all the standard geology notebook contents and photos attached to it which can then be viewed from Rocksnake.
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J-Sim (previously known as JavaSim) is a component-based, compositional simulation environment written in Java. It is built upon the autonomous component architecture (ACA), a component architecture at the implementation level.
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HORUS is a system for knowledge acquisition, hypothesis generation, inference and learning. It is an interactive, internet environment accessible to a diverse community of users (public-access or membership basis) - see also UMKAILASH project for more.
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idyuts is \"I Dare You to Use This Shell\"; a pre-hibernate approach to replacing an ORM written with jython functors into a pure-Java language command pattern. The \"pipeline codegen artifacts\" are simple IoC templates, and trivial to adapt
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Libraries for interacting with Tinytag Data Loggers from Gemini. Please note that this project is no longer maintained.
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Geomatrix, collection of C/C++ libraries to be used for symbolic description of n-dimensional geometric models. Operates internally with a representation that constructs complex objects based on primitives, allowing loss-less modifcation of models.
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Package for general implementation of graphs in Python. Provides generic data structures, graph operators, and common algorithms.
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Galileo is a library for developing custom distributed genetic algorithms developed in Python. It provides a robust set of objects that can be used directly or as the basis of derived objects. Its modularity makes it easy to extend the functionality. The
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A ContextTree is a way of dynamically forming relationships between information: the same information can be viewed in different ways, depending on what you want from it.
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...Golp is not, but more than a property database, it provides thermodynamics and thermophysical properties by generic interfaces. The classes can also be built as COM and python modules.
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FEVal, the Finite Element Evaluator written in Python, provides easy conversion for many Finite Element data formats (both binary and ascii). Mesh modification is very easy. Values of model results can be accessed given coordinates in physical space.
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Tim Peters' FixedPoint.py + Write docs for the Library Reference manual. I expect the existing module docstring will be a good start. + Create a test driver for Python's regression suite. + Have fun modernizing it, if you like (for example,
