Python normalize list

    • [DOC File]Specification for the Extensible Configuration Checklist ...

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      Nov 02, 2007 · The target-facts list is an optional part of the TestResult object. It contains a list of zero or more individual facts about the target system or platform. Each fact consists of the following: a name (URI), a type (“string”, “number”, or “boolean”), and the value of the fact itself.

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    • [DOC File]Each of the 34 CobiT Control Objectives, or IT Processes ...

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      Time to normalize the service level after execution of the continuity plan . Number of proactive availability fixes implemented . Lead time to address continuous service short-falls . Frequency of continuous service training provided . Frequency of continuous service testing . Maturity Model, sorted by …

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    • [DOCX File]Microsoft Visual Studio

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      When we speak of free software, we are referring to freedom of use, not price. Our General Public Licenses are designed to make sure that you have the freedom to distribute copies of free software (and charge for this service if you wish); that you receive source code or can get it if you want it; that you can change the software and use pieces of it in new free programs; and that you are ...

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    • Scribbler Sensors - Computer Science | Bryn Mawr College

      The program shown below uses a normalization function to normalize light sensor values in the range [0.0..1.0] relative to the values of ambient light. Then, the normalized left and right light sensor values are used to drive the left and right motors of the robot. ... In Python, a list is a sequence of objects. The objects could be anything ...

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    • [DOC File]InterestMap: Harvesting Social Network Profiles for ...

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      To normalize the representation of each profile, we implemented 2,000 lines of natural language processing code in Python. First, for each informally-stated list of interests, the particular style of delimitation had to be heuristically recognized.

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    • [DOC File]InterestMap: An Identity and Taste-based Recommender

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      Second, we wrote Python scripts to segment these unstructured lists, which happened variously with commas, semicolons, newlines, the word “and,” etc. To normalize the causally-stated keywords, we opted to create a formal ontology covering the space of interests.

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    • [DOCX File]Table of Tables - VTechWorks Home

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      When a job is run, a list of parameters corresponding to user selections are sent to the Python back-end, where processing begins. The program reads the list of files to visualize and translates them to a list of paths where the files are located on disk. These paths are used to open and read the CSV files and then convert them to Dataframes.

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    • [DOC File]Paper Title (use style: paper title)

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      To obtain ones previous result 181, one would enter [my_181] or just [181] or [alpha32] where “alpha32 is a unique name for that value for that user. #11 To obtain a list containing the values for that sequence number one can enter [all_181] which outputs a python list of the values given above. #12 Also a series of calculations can be ...

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    • [DOCX File]1. Abstract - Virginia Tech

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      Finally, each date is converted to a Python datetime object, and all dates and locations are put into a Pandas dataframe. A list of locations is built to facilitate iteration. Locations with only 1 report are discarded due to 2 reasons: it doesn’t make any sense to draw a graph with only one data point, and most of the time it corresponds to ...

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    • Template for Extended Abstract CERC 2016

      Finally, we needed to normalize the data. The chosen solution was to scale the data to real numbers between [-1, +1] using the formula below. ... To find the optimal values, a python script called ...

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