Search Results for "python structural engineering" - Page 3
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Showing 81 open source projects for "python structural engineering"
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googlemaps
Python wrapper for Google Maps V2 API
* Note: The Google Maps V2 API used by this module has been deprecated. * For V3, consider pygeocoder: https://pypi.python.org/pypi/pygeocoder Easy-to-use Python wrapper for the Google Maps V2 and Local Search APIs. Provides geocoding, reverse geocoding, directions, and local search. -
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Add-ons to the ECMWF GRIB API. This project is about developing and maintaining add-ons to the GRIB API, like language bindings or documentation. The main GRIB API page is at http://www.ecmwf.int/products/data/software/grib_api.html
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Converts kml files (Google Earth) to wpt format (OziExplorer waypoint file). Written in Python, thus you'll need a Python interpreter to run the soft.
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Python module for converting from internal floating point format to external decimal format. Does better than default repr.
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Goldify is a set of tools that allow automated addition of links into electronic documents. Its main purpose is to allow such addition of links into documents that wish to link to the IUPAC GoldBook (http://goldbook.iupac.org).
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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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The EU Provenance project developed an architecture to document a data generating process in a distributed environment. The Python Client Side Library (CSL) enables the development of provenance-aware Python applications.
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Comet Backup - Fast, Secure Backup Software for MSPsComet is a flexible backup platform, giving you total control over your backup environment and storage destinations.
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Repository of python interfaces to major scientific libraries, like HDF, netCDF and MPI. The interfaces are based on SWIG or PyRex, and should be portable to most Linux/Unix platforms.
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Reves is tool for relational database reverse engineering. It maps the schema of existing databases into XML files.
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QuickDicom is an easy to use dicom medical imaging package for Mac OSX, providing QuickLook, Spotlight, Quartz Composer, Window/Level and a dicom file analyzer. Also included is the iiDicom Framework for image/dictionary usage in Objective C and Python.
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This project will provide translation of mathematical content, from TeX to MathML and vice-versa, and to graphics formats, as a web service. TeX, running as a daemon, is used for mathematical typography.
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Poor Man's HPC is a framework that allows distributing and running code on a server farm. pmHPC is a scaled down and simplified version of distributed computing projects such as SETI, so is a perfect fit for enthusiasts and universities.
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KML is a knowledge base with support of logical modeling. Advanced model is used to represent knowledge as a set of statements similar to natural language sentences. This project hosts a set of model storage library and server (vrb-ols) and clients.
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Mos2Gnu is a conversion utility to generate a GNU MathProg description file, understandable by the GNU Linear Programming Kit from the proprietary X-Press Mosel's file format
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Yabman is a tool for managing bibliographic references. Its key features are a quality user interface, a carefully designed data model, and sophisticated three-state hierarchical reference labeling. It is currently usable but in a pre-alpha stage.
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Read single-band NASA PDS (Planetary Data System) Image files in Python. Query header information and extract binary image data in a format suitable for PIL (Python Imaging Library). Works for Pathfinder and Mars Exploration Rover images, maybe others.
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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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SchemaDoc is a XML-based markup language for documenting XML schemas. The work products include both the vocabulary and a set of tools for combining it with the schema source (e.g. a DTD) to produce documentation in HTML, XML DocBook, LaTeX, etc.
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This is a collection of Python functions, with which data can be exported from the Python environment to a file which can be viewed in GoogleEarth.
