Keeping Up with Python: the 2.2 Release
Although all these new features and weakness resolutions bring Python pretty far down the path, there are those who claim that they violate Python's simplistic nature. If you're stictly a purist, that is probably a valid consideration. However, by finally purging some of the annoyances and adding a few more powerful constructs to the language, we are probably better off than we were before. These changes will not have a negative impact on existing code, and those that do, such as the change in the division operator, are at least not required for some time and allow for a more painless transition.
Finally, see Resources for a couple of other high-level documents, such as Andrew Kuchlin's “What's New in Python 2.2” and the slide presentation from one of Guido's talks last fall at a Python user group meeting. Python 2.2.1 can be downloaded at the main Python language home page. Happy hacking!

Wesley J. Chun, author of Core Python Programming, has over a decade of programming and instructional experience. Chun helped build Yahoo! Mail and Yahoo! People Search using Python and is currently employed by Synarc, a service company in clinical trials utilizing Python to develop applications that allow radiologists to perform patient assessments.
Today’s modular x86 servers are compute-centric, designed as a least common denominator to support a wide range of IT workloads. Those generic, virtualized IT workloads have much different resource optimization requirements than hyperscale and cloud applications. They have resulted in a “one size fits all” enterprise IT architecture that is not optimized for a specific set of IT workloads, and especially not emerging hyperscale workloads, such as web applications, big data, and object storage. In this report, you will learn how shifting the focus from traditional compute-centric IT architectures to an innovative disaggregated fabric-based architecture can optimize and scale your data center.
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