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Auto Data Python scripts

Python Laboratory Operations Toolkit

... driver, to allow the very nice, inexpensive LabPro data acquisition unit to be controlled from Python (and others) along with some useful numerical and analytical extensions (splining, nonlinear least squares, etc.), in a somewhat different shape that these are found in, for example, NumPy and SciPy. ...
Python

Simpler item retrieval using tupled subscripting

... cases becomes much simpler. This script is suitable for large data sets where you need alot of very specific items, but it becomes very annoying to type each subscript seperatly and add the lists up. It is also much clearer this way. It also supports writing elements 'in bulk'. ...
Python

Counting pages of PDF documents on Mac OS X

Given that PDF is a "native" data format on Mac OS X, it is very easy to get access to some properties of such documents. One is the number of pages. Using Python the necessary code to do this is only about four lines, plus some import and command-line plumbing, ...
Python

Fractal tree

... is a good example of how Python's powerful data structures, combined with a vast body of modules can be used to write concise and user friendly code. The code was tested with Python 2.3 and 2.4. ...
Python

Natural Language Toolkit

... Language Toolkit, is a suite of program modules, data sets and tutorials supporting research and teaching in computational linguistics and natural language processing. NLTK is ideally suited to students who are learning NLP (natural language processing) or conducting research in NLP or closely related areas, including empirical linguistics, cognitive science, ...
Python

Copying and Pasting Directories and Files

... is not a directory or a file. The data returned from copy_dir() is in a format that paste_dir() can understand. A design note: what you get back from copy_dir() may be different whether or not you have a path separator at the end of the path; paste_dir() makes use of ...
Python

Resuming download of a file

... that we only want a certian range of data to be downloaded. The server must support this, but this is part of the HTTP1.1 spec, so it should be widely supported.I essentially use the urllib.FancyURLopener to do all the dirty work of adding a new header and doing the normal ...
Python

Parsing out EDI messages

... be worried about:-Some, but not all, of my data comes from our mainframe and is stored 80 bytes to a line. The line with the final IEA of each message is padded out to 80 bytes. I had to account for extraneous 's and possible linefeeds. However, since the linefeed ...
Python

Mnemosyne

... way to a central server for analysis. This data will be valuable to study the behaviour of our memory over a very long time period. As an additional benefit, the results will be used to improve the scheduling algorithms behind the software even further. ...
Python

catenateFilesFactory

... common variations.Catenating (or concatenating) files is a common data processing task, but there are at least three independent binary choices for the functional requirements. This could mean 8 different functions, or one functions with three additional boolean arguments.Binary files are relatively easy to handle. So are text files - unless the last ...
Python

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