By Tarek Ziadé

Professional Python Programming exhibits how Python improvement might be performed with top practices and professional layout counsel.
This ebook is for Python builders who're already development purposes, yet are looking to construct larger ones by means of utilising most sensible practices and new improvement suggestions to their tasks.
The reader is predicted to have a legitimate heritage in Python programming.

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Who This publication Is For
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Extra info for Expert Python Programming: Best practices for designing, coding, and distributing your Python software

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Gcc: It is used to compile extensions that contain C code. Compiling the Sources A manual installation is done with the cmmi process (configure, make, make install sequence) that performs a compilation of Python and deploys it on the system. org/download. Using wget for downloads: The wget program, from the Gnu project, is a command line utility that can perform downloads. It is available under all platforms. Under Windows, you can get a binary distribution at: http://gnuwin32. htm. On Linux or Mac OS X, it is installable through the package systems such as apt or MacPorts.

2 -- An enhanced Interactive Python. -> Introduction to IPython's features. %magic -> Information about IPython's 'magic' % functions. help -> Python's own help system. object? -> Details about 'object'. object also works, ?? prints more. In [1]: [ 20 ] Chapter 1 iPython and application debugging: iPython is a friendly prompt when it comes to debugging, especially for server-side code that runs daemonized. Installing setuptools Perl has a great collection of third-party libraries, and a simple way to install them.

6 at this time), a lot of enhancements have been made to make the language clearer, cleaner, and easier to write. Python basics have not changed drastically, but the tools to play with them are now a lot more ergonomic. This chapter presents the most important elements of modern syntax, and the tips on their usage: • • • • • List comprehensions Iterators and generators Descriptors and properties Decorators with and contextlib Code performance tips such as for speed improvement or memory usage are covered in Chapter 12.

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