Search Results for "windows terminal linux" - Page 6
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Showing 136 open source projects for "windows terminal linux"
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La P.A.P.A. (Python Alternative for Programming Astrophysics) want to give an alternative to the astrophysicists (and any one that use RSI-IDL) for start programming in Python using similar functions as IDL and at the same time learn the power of Python.
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NTuple is a Python module used by high-energy physicists and astrophysicists to easily and efficiently access ntuple data stored in large ROOT data stores. Specifically, NTuple provides a friendly Pythonic interface to TNtuples and TTrees stored in TFiles
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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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Zherlock has now changed name to SciCraft and no longer hosted on sourceforge. Visit our new site at http://www.scicraft.org
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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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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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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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This project has moved to http://code.google.com/p/triviabotcracker/ A program to automatically find the answers for trivia bot common in IRC channel.
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PyEsp - Enhanced/Evolving/Extensible Semantic Profiling. This Python program will sort and filter search results by applying semantic profiling on web pages. The program will learn the user preferences and profiling will be done on the client computer.
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This project collect several data mining methods, such as: 1) clustering methods; 2) biclustering methods; 3) FCA methods and etc.
