Release of PythonOnPlanes-1.3.07 aka. SuperSunday release

What is PythonOnPlanes ?

PythonOnPlanes is a rapid development framework for Python which uses commonly known design patterns like ActiveRecord, Association Data Mapping, Front Controller and MVC. Our primary goal is to provide a structured framework that enables Python users at all levels to rapidly develop robust web applications, without any loss to flexibility.

See the Features list below to learn more about the framework.

Release Announcement

The Release Engineering Team is happy to announce the availability of PythonOnPlanes-1.3.07 , the latest release of the PythonOnPlanes Stable development branch. Since PythonOnPlanes-1.3.06 release we have made many improvements in functionality, stability, performance, and mod_snake_oil support for Apache web servers, as well as dealt with known security issues and made many bugfixes.

Major highlights in the release include Active Scrum Manager 1, Sanity Preserver 3.13 and Lart 22.21. This is also the first release with the PythonOnPlanes Live CD Installer officially debuting on the x86 platform.

Features

The software development world is moving towards AGILE DEVELOPMENT, WEB-2.OH, GURU PRESENCE and LEAN SOFTWARE. Our Framework is geared to support all these features.

"Out of the box" features available

Out of the box PythonOnPlanes supports

  • Sprint Management
  • Pair programming using an editor that can be shared by 2 developers. We have named it ALN (Analog Large Notebook)
  • LoC2LoC to generate a report on each developer's productivity.
  • Active Suggest DESIGN PATTERN (ASDP). This feature will make your refactoring efforts a snap

Beta Experimental Features

These features are not enabled by default and you have to enable them by editing the configuration file.

  • Developers' Blog . Each developer in the team is given a blog which he can update. If enabled, PythonOnPlanes will generate a daily report of the developer activity log and post it on the blog too
  • CutesyErrorMessages-0.0.1-BETA. This replaces stern error messages with very user friendly messages

GET PythonOnPlanes-1.3.07 IN NO TIME

Download PythonOnPlanes-1.3.07 from <http://pythononplanes.com/>

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RIP John W. Backus

The "B" in "BNF" is gone. NY Times has a nice artilce about him and his noteworthy quote is tucked in at the end

Innovation, Mr. Backus said, was a constant process of trial and error.

"You need the willingness to fail all the time," he said. "You have to generate many ideas and then you have to work very hard only to discover that they don't work. And you keep doing that over and over until you find one that does work."

Link: John W. Backus, 82, Fortran Developer, Dies - New York Times

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bayesian filters

Some weeks back, I was talking with my manager about AI and how it is such a bogus field. My manager replied that in a few years we will see applications that use AI in our daily life. However, I was quite skeptical - and I refused to agree to this. He then gave an overview of neural net and how they can learn to solve the problems. Here I pointed out that Bayesian filters can also be considered a form of AI, as they can learn from their previous data and they can make decisions, but Bayesian filtering is mathematics and not AI. At this he replied that most of AI is mathematics and only some part of it is hocus-pocus and hand waving.

This brings me what I have been thinking for a long time.Joel write

A very senior Microsoft developer who moved to Google told me that Google works and thinks at a higher level of abstraction than Microsoft. "Google uses Bayesian filtering the way Microsoft uses the if statement," he said.
. I had always suspected this and had also felt that this was the way to go. A few months back, we had a presentation by a researcher (not a Yahoo! employee), who was working on extraction and summarization of documents. He had a formula that he was applying on the sentences of the documents to find the weight of the whole sentence and then finally if the weight of the sentence was above some limit, it showed up in the summary. I was skeptical about this approach - my belief is that the Bayesian approach can be used to classify documents. Luckily, there is a project that seems to provide a framework on which things can be built further.

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