Search Results for "python data analysis" - Page 20
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Showing 519 open source projects for "python data analysis"
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PyWeaver is going to be a fully functional HTML editor. It uses wxPython. We will being using Procedural Programming to give us the flexibility, simplicity and the kind of code reuse that Object Orientation cannot give at this stage of development.
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Image2DocInfo has been made to quickly tag digital pictures. A GUI allows you to set attributes for an image, and then store them in XML files. Those files follow the Dublin Core naming scheme and are stored in the same directories than the pictures.
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A general purpose passthrough import graphics filter compatible with Microsoft Word 97 or 2003, allows the ability to paste graphics of potentially any format into a Word document. Compiles with Microsoft Visual C++ 6 or above.
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YAML (tm) is a straight-forward data serilization language, offering an alternative to XML where markup (named lists and mixed content) are not needed. YAML borrows ideas from rfc822, SAX, C, HTML, Perl, and Python.
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The Annotation Graph Schema API aims to aid developers in the creation and querying of Annotation bases where the use of XML-based tools is needed. It is easily integratable with any persistent representation and has a flexible in-memory model.
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Annotated Gel Markup Language is a simple markup language that is being proposed to markup data obtained by 2D gel electrophorosis.The goal of AGML is to enable proteomics research move into the browsing mode of searching through existing databases.
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Distributed Syslog collector and viewer system with reliable Syslog msgs over tcp, and query with reg ex. using PERL. Supports IETF syslog and syslog relay, JAVA/JINI based, uses postgreSQL, JBOSS. Chain of custody raw to db data link. UTF8, D, F , UK
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Python wrappers for the way(s) you think. Mindwrapper is a framework for the rapid development of custom, data-centric, GUI applications with wxPython.
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CryptoPy is a pure python implmentation of cryptographic algorithms and applications. The algorithms are developed for readability more than speed. The collection now includes IEEE 802.11i specific algorithms that generated the test vectors for 802.11i.
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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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A log analysis framework that applies to several platforms.It allows for the analysis of different types and formats of logs.
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Write your HotSync conduit in Python. Initial source code kindly donated by Jeff Senn. Project source almost complete when donated. Currently Alpha status due to dormancy. Project is a Python module that talks to the Palm C HotSync APIs.
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A framework for image analysis and data analysis, aimed towards microscopy and the needs of current research.
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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.
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ktdata is a C++ library for accessing tabular data, like from CSV files. Its goals are: 1. object design 2. portability (Linux and Windows support at least) 3. high performance 4. support for common data file formats, like CSV, ARFF (Weka), etc.
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pyModeliXe is a Python template engine. Designers will appreciate its Dreamweaver support, and its XML compliant templates. Developers will be pleased about its plug-ins system, error management and the template cache.
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Python library that handles and manages communication between client and blip.pl server via blip.pl API.
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OBIEE UDML (Universal Database Markup Language) parser, providing an XML output, enabling other applications to take advantage of the meta data.
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XML is a standard to move data around easily and CSV format is the easiest to display huge chunk of data. xml2csv offers, light weight and easy conversion of XML data to CSV formated data.
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ddreditor (Digital Didatic Resource Editor) is a editor of Digital Didatic Resources (learning objects and more). It is implemented using Python and it´s GTK bindings and uses a docbook substed as it´s markup language.
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xml.dom.easydom for python primarily behaves like any xml.dom.* you already use. Additionaly easydom provides operator overloadings which render xml processing descriptions more readable and hence less error-prone. See about 90% of your xml-code boosted.
