Download Python 2.6 Text Processing by Jeff McNeil PDF

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By Jeff McNeil

This publication is a part of the Beginner's advisor sequence. each one bankruptcy covers the stairs for numerous initiatives to approach information via short rationalization of what's taking place in every one activity. the reason is via a couple of questions about the subject less than dialogue that may function a refresher path for you. This ebook is for those who have textual content in a single layout, and wish it in one other, as quick as attainable. You don't want any event with textual content processing, yet you will want a few uncomplicated wisdom of Python.

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Open returns a file object and binds it to the file_stream attribute. The first argument to open is the file name; the second is the mode we wish to use. stdin to file_stream. Both of these objects are considered to be file-like objects. They implement the same set of core functionality, though the input sources are different. This is another example of polymorphism. Finally, we've wrapped our open method in a try/except block in order to catch any exceptions that may bubble up from the open function.

We can make one more simple change to our script so that we have native support for common compression formats. Time for action – handling compressed files In this example, we'll add support for common compression formats using Python's standard library. 1. py. Add a new function just below the MaxSizeHandler class. def get_stream(path): """ Detect compression. If the file name ends in a compression suffix, we'll open it using the correct algorith. If not, we just return a standard file object.

It's a great place to learn about available third-party applications. Links are provided to individual package documentation if it's not included directly into the package's PyPI page. Packaging in a nutshell There are at least two different popular methods of packaging and deploying Python packages. The distutils package is part of the standard distribution and provides a mechanism for building and installing Python software. Packages that take advantage of the distutils system are downloaded as a source distribution and built and installed by a local user.

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