Gave them freepythonhub:
Most of my current workflow involves some manner of data analysis / visualization / relatively light stats in an IPython notebook. A new source of data (Factset, if it helps) has well-developed interfaces for R and Matlab – both of which I’ve used extensively in the past, but barely at all in the last ~year.
My question is which – R or Matlab – is going to lend itself to more flexibility in terms of using data pulled through one of them in Python (at least in cases where switching back over to Python makes sense in the first place)? Would you rather have to use a combination of Python and R, or a combination of Python and Matlab?
Thanks!
submitted by josiahstevenson [link] [comment] [ link ]
Clearly R. By far more accessible. Open Source=free. R libraries grow fast in most areas of research. Reminds me what DEC did with the PDP-11. DEC gave them free to many selected Universities. Soon they became the standard. When grads got jobs eventually they opted for what they knew well. And demended it.
The Quicksort Algorithm
Quicksort is the fastest known comparison-based sorting algorithm (on average, and for a large number of elements), requiring O(n log(n)) steps. By convention, n is the number of elements to be compared and big O is a function of those elements. Quicksort is a recursive algorithm which first partitions an array according to several rules:
Pick an element, called a pivot, from the array.
Reorder the array so that all elements with values less than the pivot come before the pivot, while all elements with values greater than the pivot come after it (equal values can go either way). After this partitioning, the pivot is in its final position. This is called the partition operation.
Recursively apply the above steps to the sub-array of elements with smaller values and separately to the sub-array of elements with greater values.
Quicksort was invented by Tony Hoare and has undergone extensive analysis and scrutiny, and is known to be about twice as fast as the next fastest sorting algorithm. In the worst case, however, quicksort is a slow n² algorithm (and for quicksort, “worst case” corresponds to already sorted). (Click this link for an example of the Quicksort Algorithm written in C)
Credit: Wolfram Alpha/Wikipedia
These dark, narrow, 100 meter-long streaks called recurring slope lineae flowing downhill on Mars are inferred to have been formed by contemporary flowing water. Recently, planetary scientists detected hydrated salts on these slopes at Hale crater, corroborating their original hypothesis that the streaks are indeed formed by liquid water. The blue color seen upslope of the dark streaks are thought not to be related to their formation, but instead are from the presence of the mineral pyroxene. The image is produced by draping an orthorectified (Infrared-Red-Blue/Green(IRB)) false color image (ESP_030570_1440) on a Digital Terrain Model (DTM) of the same site produced by High Resolution Imaging Science Experiment (University of Arizona). Vertical exaggeration is 1.5.
Credits: NASA/JPL/University of Arizona
50.1% of the US population lives in these 244 counties.
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Earth and Moon from Saturn
via reddit
How I feel when I write anything in C++
#sound #Arduino #mbed #make #Blender #Unity #GenerativeArt #ARM by prototechno @ http://ift.tt/1RDsP2i
http://www.kurzweilai.net/these-self-propelled-microscopic-carbon-capturing-motors-may-reduce-carbon-dioxide-levels-in-oceans?utm_source=KurzweilAI+Weekly+Newsletter&utm_campaign=aec011d0f7-UA-946742-1&utm_medium=email&utm_term=0_147a5a48c1-aec011d0f7-282055766
The U.S. is increasing its attacks on sprawling ISIS oil fields in eastern Syria. https://t.co/PZyFcdonkd
Source: twitter / nytgraphics
Upstatae NY is High above the mean. Not surprised
Here’s A Map Of The Most Racist Places In America, According To Google Searches
Some of you may have wondered where the most racist areas in America are. Are they heavily-Democratic urban areas where the “true racists” don’t realize that racism is over in America (as claimed by the GOP)?
According to a new study published in PLOS ONE, the most racist people in America live in “the rural Northeast and South.”
via PLOS ONE
This map represents data culled by scientist Seth…
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Machine Learning, Big Data, Code, R, Python, Arduino, Electronics, robotics, Zen, Native spirituality and few other matters.
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