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Harald Schilly

Saturday, April 4, 2015. R's sapply in Numpy. One quick blog entry about sapply. Is equal to list comprehensions in Python. Ie [f(x) for x in range(1, 10)]. Is sapply(1:10, f). But: When you want to apply a function (mapping a number to a vector! To a vector, you get a matrix. R's sapply does raise the rank of the output to two, while in Numpy you have to push the vector to a higher rank via the magical vector[:, np.newaxis]. In [1]: import numpy as np. In [2]: def f(x):. 105263158, 0.52631579, 0....

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Harald Schilly | blog.harald.schil.ly Reviews

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Saturday, April 4, 2015. R's sapply in Numpy. One quick blog entry about sapply. Is equal to list comprehensions in Python. Ie [f(x) for x in range(1, 10)]. Is sapply(1:10, f). But: When you want to apply a function (mapping a number to a vector! To a vector, you get a matrix. R's sapply does raise the rank of the output to two, while in Numpy you have to push the vector to a higher rank via the magical vector[:, np.newaxis]. In [1]: import numpy as np. In [2]: def f(x):. 105263158, 0.52631579, 0&#46...

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Harald Schilly | blog.harald.schil.ly Reviews

https://blog.harald.schil.ly

Saturday, April 4, 2015. R's sapply in Numpy. One quick blog entry about sapply. Is equal to list comprehensions in Python. Ie [f(x) for x in range(1, 10)]. Is sapply(1:10, f). But: When you want to apply a function (mapping a number to a vector! To a vector, you get a matrix. R's sapply does raise the rank of the output to two, while in Numpy you have to push the vector to a higher rank via the magical vector[:, np.newaxis]. In [1]: import numpy as np. In [2]: def f(x):. 105263158, 0.52631579, 0&#46...

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blog.harald.schil.ly

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Harald Schilly: August 2014

http://blog.harald.schil.ly/2014_08_01_archive.html

Monday, August 18, 2014. New combinatorial designs in Sage - by Nathann Cohen. This is a guest post by Nathann Cohen. New combinatorial designs in Sage. Below, these graphs are a decomposition of a $K {13}$ (i.e. the complete graph on 13 points) into copies of $K 4$. Pick two vertices you like: they appear exactly once together in one of the $K 4$. Sage has gotten quite good at building such decompositions (a specific kind of combinatorial designs) when they exist. This post is about them. Which have a s...

2

Harald Schilly: March 2013

http://blog.harald.schil.ly/2013_03_01_archive.html

Tuesday, March 19, 2013. Also, the documentation page. Has been updated to reflect the new thematic tutorials. I highly recommend to browse through all those topics. To learn more about Sage's ever increasing scope. Links to this post. Subscribe to: Posts (Atom). Awesome Inc. template. Template images by molotovcoketail.

3

Harald Schilly: Sage GSoC 2014 Projects

http://blog.harald.schil.ly/2014/04/sage-gsoc-2014-projects.html

Tuesday, April 22, 2014. Sage GSoC 2014 Projects. This year, Sage. Is happy to announce that it will be running five Google Summer of Code. Projects. Welcome everyone to the Sage community and all the best to your summer filled with exiting projects ;-). Related projects are listed here. Nikhil Peter Raj (Volker Braun):. Improvements to the Sage Android App. Amit Jamadagni (Miguel Angel Marco-Buzunariz). Jayant Apte (Stefan van Zwam). Simon Spicer (William Stein, Jonathan Bober). Daniel Bell (Ivan Andrus).

4

Harald Schilly: R's sapply in Numpy

http://blog.harald.schil.ly/2015/04/rs-sapply-in-numpy.html

Saturday, April 4, 2015. R's sapply in Numpy. One quick blog entry about sapply. Is equal to list comprehensions in Python. Ie [f(x) for x in range(1, 10)]. Is sapply(1:10, f). But: When you want to apply a function (mapping a number to a vector! To a vector, you get a matrix. R's sapply does raise the rank of the output to two, while in Numpy you have to push the vector to a higher rank via the magical vector[:, np.newaxis]. In [1]: import numpy as np. In [2]: def f(x):. 105263158, 0.52631579, 0&#46...

5

Harald Schilly: Blüte des Lebens - Georg Kostron

http://blog.harald.schil.ly/2014/06/blute-des-lebens-georg-kostron.html

Friday, June 6, 2014. Blüte des Lebens - Georg Kostron. Musik-kritische Ausführungen im Staccato. Vorweg: dieser Text wird in Kürze ins Lateinische übersetzt. Song 01. Raumschiff Maria. Ein routinierter Klick auf das nach rechts blickende Abspieldreieck, es wummert kurz - Dissonanz - zu leise? Song 02. Rostiges Rösslein. Versöhnlicher, Chorgesang, Melodie - zurücklehnen. Aber spätestens das Textfragment "Geld arbeitet - nicht. Song 03. Der kleine Tiger. Katzen möchten im monotonen Alltag eingelullt, sich...

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Harald Schilly

Saturday, April 4, 2015. R's sapply in Numpy. One quick blog entry about sapply. Is equal to list comprehensions in Python. Ie [f(x) for x in range(1, 10)]. Is sapply(1:10, f). But: When you want to apply a function (mapping a number to a vector! To a vector, you get a matrix. R's sapply does raise the rank of the output to two, while in Numpy you have to push the vector to a higher rank via the magical vector[:, np.newaxis]. In [1]: import numpy as np. In [2]: def f(x):. 105263158, 0.52631579, 0&#46...

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Blog Project of Harald Kraft. WordPress shortcode for user role visibility. As WordPress itself is very powerful concerning permission management, it’s sometimes a little bit difficult to perform very simple tasks. Recently I wanted to display different contents for different users (or more specifically: different user roles). However this isn’t possible to do out of the box. There are a lot of plugins for managing user groups. And even build big membership systems. Will take the attribute of role=”.

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