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Expert Python Programming



Expert Python Programming


pdf | 372 pages | 10.24 Mb


Sales page:

http://www.amazon.com/Expert-Python-Programming-practices-distributing/dp/184719494X


Python has come a long way.

There was a time when companies would call me crazy when I insisted on using Python. These days, there simply aren't enough Python coders to go around. Major companies such as Google, YouTube, VMware, and DreamWorks are in a constant scramble to snatch up all the good Python talent they can find.

Python used to lag behind Perl because Perl had CPAN. These days, setuptools and PyPI have led to an explosion of readily available, high-quality, third-party Python libraries. Python also used to lag behind Java Servlets and Ruby on Rails because there was no standard API for interacting with web servers. These days, the Web Server Gateway Interface (WSGI) has led to a renaissance in the Python web world. Thanks to Google App Engine, I think we'll see even more.

Python seems to attract programmers who are highly opinionated and have a real taste for elegance. Very few people become Python programmers because it's what they learned in college, or because it's what all the big companies are using. Rather, people are drawn to Python when they discover its intrinsic beauty. Because of this, there are a surprising number of Python books. I don't have the statistics to prove it, but it seems to me that Python has a higher ratio of books to programmers than any other language. However, historically, there haven't been enough advanced Python books. That's about to change.

This book presents an interesting list of topics. It covers a range of Python features and how to use them in unexpected ways. It also covers a selection of interesting third-party libraries and tools. Along the way, agile programming with Python tools and libraries is covered. This includes test-driven development with Nose, document-driven development with doctest, source control with Mercurial, continuous integration with Buildbot, and project management with Trac. Finally, it covers more traditional topics such as profiling, optimization, and design patterns such as Alex Martelli's infamous Borg approach to Singletons.

If you're looking to progress from knowing Python to mastering Python, this is the book for you. In fact, this is exactly the type of book I wish I had had five years ago. What took me years to discover by steadfastly attending talks at PyCon and my local Python users' group is now available in a succinct book form.

There has never been a more exciting time to be a Python programmer!

Shannon -jj Behrens

Moderator of the San Francisco Bay Area Python Interest Group

http://jjinux.blogspot.com


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