Search Results for "numerical python files"
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9 projects for "numerical python files" with 2 filters applied:
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Autoplot
Autoplot is an interactive browser for data on the web
Autoplot is an interactive browser for data on the web. Give Autoplot a URL or local file name and it creates a sensible plot of the data. Autoplot allows you to interactively browse data stored in ascii, .cdf, netcdf, and many other formats. Autoplot's source has been moved to GitHub. Thanks to SourceForge for many years of hosting! -
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QtiPlot is a user-friendly, platform independent data analysis and visualization application similar to the non-free Windows program Origin.
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SnowMicroPyn
Python based reader for SnowMicroPen® .pnt measurements
SnowMicroPyn is an opensource reader for SnowMicroPen® files in binary .pnt format. The reader is Python based and published as source code as well as compiled executable for Windows, Linux and Mac. The software is preliminary, thus please report bugs. For further information, please read the Readme.txt in the download section. The SnowMicroPen® (SMP) is developed by the WSL Institute for Snow and Avalanche Research, Davos. -
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A simple but powerful bulk file statistics calculator. Given operation(s) and a list of files containing identical text fields and corresponding numerical fields this program calculates and outputs a similar file with the numerical op performed.
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This is a neat little tool to visualize binary data in a graphical form. It's really interesting to look at different types of files.
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Helps compatibility with Vernier's Graphical Analysis and Logger Pro software. Includes a converter to extract important data out of Vernier .ga3 and .cmbl data files, and spreadsheet to analyze the data with tables, graphs, and curve fitting.
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This is a Python package designed to process Penn Treebank Release II-style combined trees (.mrg files) into useful objects for tree traversal, feature extraction, and statistical analysis. For more information, go to http://mrgutils.sourceforge.net
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This program will calculate and output metrics on code written in Python. Reports can be generated in text- or XML-files. A plug-in system lets new metrics be added to the program. A set of built-in plug-ins with provide some of the most common metrics a
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