Hmmm, I think people are spreading "fud" (lower case)... http://media.libsyn.com/media/awaretek/Python411_060530_Numeric.mp3
Louis Cordier wrote:
Hmmm, I think people are spreading "fud" (lower case)... http://media.libsyn.com/media/awaretek/Python411_060530_Numeric.mp3
Can you give us a synopsis? or point us to when exactly in the clip we're supposed to listen?
On 7/31/06, Robert Kern robert.kern@gmail.com wrote:
Louis Cordier wrote:
Hmmm, I think people are spreading "fud" (lower case)... http://media.libsyn.com/media/awaretek/Python411_060530_Numeric.mp3
Can you give us a synopsis? or point us to when exactly in the clip we're supposed to listen?
Er, I didn't listen to the whole thing, but there are some references to numpy being difficult to install under platforms other than windows (arguable I guess), I got the impression the speaker was conflating the enthon distribution with scipy, and he says at one point that numarray is the successor to numpy. Not fud exactly, but a bit misleading.
Matthew
Louis Cordier wrote:
Hmmm, I think people are spreading "fud" (lower case)... http://media.libsyn.com/media/awaretek/Python411_060530_Numeric.mp3
I googled fud and found two definitions: "fear, uncertainty and doubt," and "frustrate, undermine, and demoralize" - which is intended?
DG
Louis Cordier wrote:
Hmmm, I think people are spreading "fud" (lower case)... http://media.libsyn.com/media/awaretek/Python411_060530_Numeric.mp3
I listened to this and it looks like Sergio Ray is giving an intro class on scientific computing with Python and has some concepts confused. We should take this as a sign that we need to keep doing a good job of educating people.
Here are some things he has confused:
NumPy == Numeric
He tells his class that numarray is going to replace NumPy
SciPy == Enthon
He thinks that the Enthon distribution *is* SciPy. So, he tells his class that SciPy is "hard to use" on Unix because the Enthon distribution isn't available for Unix.
I'm not sure when this recording was done but it was released on Python 411 at the end of May and he mentions this years SciPy conference with Guido as the key-note speaker so it was within the past few months.
Other than that it has some good introductory material on what the Num* packages provide to Python.
-Travis
All I can say is, if someone that confused about basic facts is being cited as an authority and teaching a podcast class, I'm glad I have someone on-site at my work who actually knows what they're talking about and not relying on the Net for my numpy education.
DG
Travis Oliphant wrote:
Louis Cordier wrote:
Hmmm, I think people are spreading "fud" (lower case)... http://media.libsyn.com/media/awaretek/Python411_060530_Numeric.mp3
I listened to this and it looks like Sergio Ray is giving an intro class on scientific computing with Python and has some concepts confused. We should take this as a sign that we need to keep doing a good job of educating people.
Here are some things he has confused:
NumPy == Numeric
He tells his class that numarray is going to replace NumPy
SciPy == Enthon
He thinks that the Enthon distribution *is* SciPy. So, he tells his class that SciPy is "hard to use" on Unix because the Enthon distribution isn't available for Unix.
I'm not sure when this recording was done but it was released on Python 411 at the end of May and he mentions this years SciPy conference with Guido as the key-note speaker so it was within the past few months.
Other than that it has some good introductory material on what the Num* packages provide to Python.
-Travis
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Oh dear, I hope my friends remind me never to let anyone record what I say when I give a class!
David L Goldsmith wrote:
All I can say is, if someone that confused about basic facts is being cited as an authority and teaching a podcast class, I'm glad I have someone on-site at my work who actually knows what they're talking about and not relying on the Net for my numpy education.
The numpy == Numeric confusion is understandable. Numeric Python (AKA Numeric) was typically referred to as NumPy even though the name of the module was actually Numeric. So, in a sense numarray was a replacement for (the old) NumPy, and numpy is a replacement for both the old NumPy and numarray. At least I sure hope so!
-tim
DG
Travis Oliphant wrote:
Louis Cordier wrote:
Hmmm, I think people are spreading "fud" (lower case)... http://media.libsyn.com/media/awaretek/Python411_060530_Numeric.mp3
I listened to this and it looks like Sergio Ray is giving an intro class on scientific computing with Python and has some concepts confused. We should take this as a sign that we need to keep doing a good job of educating people.
Here are some things he has confused:
NumPy == Numeric
He tells his class that numarray is going to replace NumPy
SciPy == Enthon
He thinks that the Enthon distribution *is* SciPy. So, he tells his class that SciPy is "hard to use" on Unix because the Enthon distribution isn't available for Unix.
I'm not sure when this recording was done but it was released on Python 411 at the end of May and he mentions this years SciPy conference with Guido as the key-note speaker so it was within the past few months.
Other than that it has some good introductory material on what the Num* packages provide to Python.
-Travis
Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT & business topics through brief surveys -- and earn cash http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=D... _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
I listened to this and it looks like Sergio Ray is giving an intro class on scientific computing with Python and has some concepts confused. We should take this as a sign that we need to keep doing a good job of educating people.
I'm on UTC+02:00 so only just saw there have been a few posts. Basically my issue was with numarray going to replace NumPy, and that the recording was only a few months old, sitting on the web where newcomers to Python will undoubtedly find it.
I thought the proper thing to do would be to ask the 411 site to just append a footnote explaining that some of the info is out-dated. I just didn't want to do it without getting the groups opinion first.
Regards, Louis.