Episode iii: 21st-27th August 2011

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Space entrepreneurs may hold fate of ISS - space - 23 August 2011 - New Scientist

http://www.newscientist.com/article/mg21128266.300-space-entrepreneurs-may-hold-fate-of-iss.html FOLLOWING the retirement of the space shuttle on 21 July, Americans couldn't have relished the thought of being dependent on Russian Soyuz rockets to get into space. So when Russia's space agency Roskosmos said a week later that the 370-tonne International Space Station would be ditched in the Pacific Ocean in 2020, it must have seemed a hit below the belt.
http://sciblogs.co.nz/physics-stop/2011/08/24/crop-circles/ This post is syndicated from Physics Stop – Original Post

Crop circles | Physics Stop

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physicsworld.com

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A similar magnetron with a different section removed (magnet is not shown). The cavity magnetron is a high-powered vacuum tube that generates microwaves using the interaction of a stream of electrons with a magnetic field.

Cavity magnetron - Wikipedia, the free encyclopedia

http://en.wikipedia.org/wiki/Cavity_magnetron

Steve Jobs stands down as CEO of Apple Computer | Code for Life

http://sciblogs.co.nz/code-for-life/2011/08/25/steve-jobs-stands-down-as-ceo-of-apple-computer/#comment-114525 I have always said if there ever came a day when I could no longer meet my duties and expectations as Apple’s CEO, I would be the first to let you know. Unfortunately, that day has come.

1. Python: What can it do for us scientists? | MESA

http://mesa.ac.nz/?page_id=423 The answer is A LOT! Let me clarify.. Though Python is a programming language, in the recent years it has emerged as an extremely powerful tool for a variety of scientific applications: from data analysis to simulation and complex visualisations to interfacing with instruments.
Learn the magic of writing Python code that monitors, alters and reacts to module imports, changes to variables, calls to functions and invocations of the builtins.

NZPUG - New Zealand Python User Group

http://nzpug.org/
David Jacobs has written a long blog post Ruby is beautiful (but I’m moving to Python) . Here’s my summary.

Ruby, Python, and Science — The Endeavour

http://www.johndcook.com/blog/2010/11/28/ruby-python-and-science/

“Should I switch to Python?” | Programming for Scientists

Rich has recently been considering switching to the Python programming language. http://www.programming4scientists.com/2009/11/17/should-i-switch-to-python/
In reaction to several colleagues asking about Python , I thought a webpage would be more useful than giving an exhaustive rundown on Python verbally. Python is a script based language that allows programmers/scientists to get their algorithms and functions working in little or no time.

Python for Scientists

NumPy can be extended with C-code for functions where performance is highly time critical.

more about SciPy -

PyBrain

PyBrain is a modular Machine Learning Library for Python. Its goal is to offer flexible, easy-to-use yet still powerful algorithms for Machine Learning Tasks and a variety of predefined environments to test and compare your algorithms. PyBrain is short for Py thon- B ased R einforcement Learning, A rtificial I ntelligence and N eural Network Library. In fact, we came up with the name first and later reverse-engineered this quite descriptive "Backronym". How is PyBrain different? While there are a few machine learning libraries out there, PyBrain aims to be a very easy-to-use modular library that can be used by entry-level students but still offers the flexibility and algorithms for state-of-the-art research.

matplotlib: python plotting — Matplotlib v1.0.1 documentation

matplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. matplotlib can be used in python scripts, the python and ipython shell (ala MATLAB ® * or Mathematica ® † ), web application servers, and six graphical user interface toolkits. matplotlib tries to make easy things easy and hard things possible. You can generate plots, histograms, power spectra, bar charts, errorcharts, scatterplots, etc, with just a few lines of code. For a sampling, see the screenshots , thumbnail gallery, and examples directory For example, using "ipython -pylab" to provide an interactive environment, to generate 10,000 gaussian random numbers and plot a histogram with 100 bins, you simply need to type x = randn(10000) hist(x, 100)
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