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Multiline commands Command input may span multiple lines for the commands whose names are listed in the parameter app.multilineCommands . These commands will be executed only after the user has entered a terminator . By default, the command terminators is ; ; replacing or appending to the list app.terminators allows different terminators. A blank line is always considered a command terminator (cannot be overridden).
Features requiring application changes — cmd2 v0.6.0 documentation
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En échange d'une promotion pour la marque Nazca et l'importateur Cycles Zen , un rabais de 13 % sur nos deux vélos Pionner de chez Nazca nous a été accordé. Un grand merci aux bons conseils de Jean-Jacques et au temps qu'il nous a consacré, et merci pour les pièces qu'il nous a fait parvenir ensuite. Après plus de 20 mois de voyage , nous sommes toujours satisfaits de nos deux montures. Très chargées, elles roulent très souvent en tous terrains (sable, pierres, ripio, sel, eau...), passent toute leur vie dehors par tous les temps et toutes les températures.
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In this sample frame from the video, John Tukey sits in front of the Prim-9 hardware -- and the blackboard he uses in his explanation of the variables in the particle physics data. There's no good excuse for including this frame, but it's irresistible somehow. This video could be of great interest as part of a 'statistics day' program, and could also be useful for a statistical computing or advanced graphics class.
Video library. ASA Statistics Computing and Graphics
Refine, reuse and request data | ScraperWiki
When requesting and parsing data from a source with unknown properties and random behavior (in other words, scraping), I expect all kinds of bizarrities to occur. Managing exceptions is particularly helpful in such cases. Here is some ways that an … Continue readingUKVAC Visual Analytics Summer School 2010 at Middlesex University
Improvise is a software architecture and user interface for building and browsing multidimensional visual query tools interactively. By coupling interaction with a declarative query language, users gain precise control over data appearance and behavior across multiple views. Interactive synthesis based on flexible coordination and expressive graphical encoding makes it practical to design, implement, and refine rich visualization interfaces in a matter of days or even hours. Improvise has been used to explore and analyze information sources as diverse as historic hotel guest registries, political events in international newswire stories, health and census demographics, caribou migration patterns, a simulated health facility evacuation, and the Internet Movie Database. In this tutorial, we will begin by browsing several existing Improvise visualizations.
Google Refine is great at cleaning large sets of data. But one amazing under-documented feature is the ability to design and output JSON files. With Google Refine, you can turn a simple spreadsheet into a straight forward JSON dataset or multidimensional array quickly and easily.
Use Google Refine to Export JSON | Knight Digital Media Center
Pattern | CLiPS
Pattern is a web mining module for the Python programming language. It bundles tools for data retrieval (Google + Twitter + Wikipedia API, web spider, HTML DOM parser), text analysis (rule-based shallow parser, WordNet interface, syntactical + semantical n-gram search algorithm, tf-idf + cosine similarity + LSA metrics), clustering and classification (k-means, KNN, SVM), and data visualization (graph networks). Pattern is written for Python 2.4+ (no support for Python 3 yet). The module has no external dependencies except when using LSA in the vector module, which requires NumPy (installed by default on Mac OS X).This work is supported in part by the Cyberinfrastructure for Network Science Center and the School of Library and Information Science at Indiana University, the National Science Foundation under Grant No. SBE-0738111 and IIS-0513650, and the James S. McDonnell Foundation.
Sci² Tool : A Tool for Science of Science Research and Practice
PyInstaller is a program that converts (packages) Python programs into stand-alone executables, under Windows, Linux, Mac OS X, Solaris and AIX. Its main advantages over similar tools are that PyInstaller works with any version of Python since 2.2, it builds smaller executables thanks to transparent compression, it is fully multi-platform, and use the OS support to load the dynamic libraries, thus ensuring full compatibility. The main goal of PyInstaller is to be compatible with 3rd-party packages out-of-the-box .
PyInstaller