Re: [Numpy-discussion] Cellular Automata Neighborhoods Numpy
Hi Michael, You can find the full game of life script at [1]. There is also Belousov-Zhabotinsky cellular automaton. Both have a strided version. r. [1] http://docs.sfepy.org/scientific-python-tutorial/examples - Reply message - From: Michael Mersky m...@mydis.org To: numpy-discussion@scipy.org Subject: [Numpy-discussion] Cellular Automata Neighborhoods amp; Numpy Date: Sun, Mar 20, 2011 03:35 Hello, I stumbled upon this group tonight (http://mail.scipy.org/pipermail/numpy-discussion/2010-October/053420.html) while searching Google for examples of Cellular Automata(CA) using Numpy. The Game of Life Strides example looks great, but I don't fully comprehend how this example is working: http://scipy.org/Cookbook/GameOfLifeStrides If I have: world=arange(9).reshape(3,3) world array([[0, 1, 2], [3, 4, 5], [6, 7, 8]]) how could I as_strided(world,shape?,strides) such that my 9 cell neighborhood at [0][0] would be something like this (i.e. wrapped): array([[8,6,7], [2,0,1], [5,3,4]]) Greatly appreciate your help! -m___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
[Numpy-discussion] What Requires C and what is just python
So, in addition to my computer science work, I'm a PhD student in econ. Right now, the class is using GAUSS for almost everything. This sort of pisses me off because it means people are building libraries of code that become valueless when they graduate (because right now we get GAUSS licenses for free, but it is absurdly expensive later) -- particularly when this is the only language they know. So, I had this idea of building some command line tools to do the same things using the most basic pieces of NumPy (arrays, dot products, transpose and inverse -- that's it). And it is going great. My problem however is that I'd like to be able to share these tools but I know I'm opening up a big can of worms where I have to go around building numpy on 75 peoples computers. What I'd like to do is limit myself to just the functions that are implemented in python, package it with py2exe and hand that to anyone that needs it. So, my question, if anyone knows, what's implemented in python and what depends on the c libraries? Is this even possible? Thanks! Ben -- Ben Smith Founder / CSA WBP SYSTEMS http://www.wbpsystems.com ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] What Requires C and what is just python
On Sun, Mar 20, 2011 at 11:08 AM, Ben Smith b...@wbpsystems.com wrote: So, in addition to my computer science work, I'm a PhD student in econ. Right now, the class is using GAUSS for almost everything. This sort of pisses me off because it means people are building libraries of code that become valueless when they graduate (because right now we get GAUSS licenses for free, but it is absurdly expensive later) -- particularly when this is the only language they know. So, I had this idea of building some command line tools to do the same things using the most basic pieces of NumPy (arrays, dot products, transpose and inverse -- that's it). And it is going great. My problem however is that I'd like to be able to share these tools but I know I'm opening up a big can of worms where I have to go around building numpy on 75 peoples computers. What I'd like to do is limit myself to just the functions that are implemented in python, package it with py2exe and hand that to anyone that needs it. So, my question, if anyone knows, what's implemented in python and what depends on the c libraries? Is this even possible? I think you can package also numpy with py2exe. Overall I think restricting to pure python is a very bad idea if you want to compete with Gauss. Even for a minimal translation of Gauss programs I need at least numpy and scipy, and statsmodels for the econometrics specific parts. linear algebra, optimization and special functions for distributions look like a minimum to me, and some scipy.signal for time series analysis, and more random numbers than in python`s standard library. Pure python will be slow for this and I doubt you will get anyone to switch from Gauss to pure python. Also, I haven`t seen yet a pure python matrix inverse, or linalg solver. If they want to write their own python programs for analysis and use python later on, then they are much better of getting a full python distribution, EPD, pythonxy or similar. Binary distributions are available and just one click or one command installs. And, for example, using Spyder would be a lot nicer and easier for writing scripts, that are equivalent to Gauss scripts, than using commandline tools. I fully agree with the objective of getting python/numpy/scipy tools to get economists, econometricians to switch from gauss or matlab, but to make it competitive we need enough supporting functions and we need the speed that some Monte Carlo simulations don`t take days instead of hours. I hope you are successful with getting economists or econ students to use python. Josef Thanks! Ben -- Ben Smith Founder / CSA WBP SYSTEMS http://www.wbpsystems.com ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] What Requires C and what is just python
On Sunday, March 20, 2011 11:08am, Ben Smith b...@wbpsystems.com said: ... What I'd like to do is limit myself to just the functions that are implemented in python, package it with py2exe and hand that to anyone that needs it. So, my question, if anyone knows, what's implemented in python and what depends on the c libraries? Is this even possible? The low-level code is all in non-Python libraries. However, I have used pyinstaller (similar to py2exe) to build self-contained packages that include numpy, and it includes the necessary non-Python libraries in the package. My impression is that py2exe will do the same thing. Also, you don't need to build numpy on everyone's machine. There is a numpy installer for Windows. You could just give people directions for installing Python and Numpy. IPython might be nice too. Other alternatives: The Enthought distribution is free for academic use. Sage is free. There's also Python(x,y), though I don't know much about it. They all include a ton of stuff. Dan___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] What Requires C and what is just python
On Sun, Mar 20, 2011 at 11:44 AM, josef.p...@gmail.com wrote: On Sun, Mar 20, 2011 at 11:08 AM, Ben Smith b...@wbpsystems.com wrote: So, in addition to my computer science work, I'm a PhD student in econ. Right now, the class is using GAUSS for almost everything. This sort of pisses me off because it means people are building libraries of code that become valueless when they graduate (because right now we get GAUSS licenses for free, but it is absurdly expensive later) -- particularly when this is the only language they know. So, I had this idea of building some command line tools to do the same things using the most basic pieces of NumPy (arrays, dot products, transpose and inverse -- that's it). And it is going great. My problem however is that I'd like to be able to share these tools but I know I'm opening up a big can of worms where I have to go around building numpy on 75 peoples computers. What I'd like to do is limit myself to just the functions that are implemented in python, package it with py2exe and hand that to anyone that needs it. So, my question, if anyone knows, what's implemented in python and what depends on the c libraries? Is this even possible? I think you can package also numpy with py2exe. I should have explained this first: all basic numpy array calculations are in C, extra packages in scipy are often in fortran. numpy.linalg uses C, but scipy.linalg uses the fortran libraries that are the same (LAPACK,..) or similar versions as in GAUSS. numpy.random is in C, scipy.special for distribution functions is in C and fortran. Josef Overall I think restricting to pure python is a very bad idea if you want to compete with Gauss. Even for a minimal translation of Gauss programs I need at least numpy and scipy, and statsmodels for the econometrics specific parts. linear algebra, optimization and special functions for distributions look like a minimum to me, and some scipy.signal for time series analysis, and more random numbers than in python`s standard library. Pure python will be slow for this and I doubt you will get anyone to switch from Gauss to pure python. Also, I haven`t seen yet a pure python matrix inverse, or linalg solver. If they want to write their own python programs for analysis and use python later on, then they are much better of getting a full python distribution, EPD, pythonxy or similar. Binary distributions are available and just one click or one command installs. And, for example, using Spyder would be a lot nicer and easier for writing scripts, that are equivalent to Gauss scripts, than using commandline tools. I fully agree with the objective of getting python/numpy/scipy tools to get economists, econometricians to switch from gauss or matlab, but to make it competitive we need enough supporting functions and we need the speed that some Monte Carlo simulations don`t take days instead of hours. I hope you are successful with getting economists or econ students to use python. Josef Thanks! Ben -- Ben Smith Founder / CSA WBP SYSTEMS http://www.wbpsystems.com ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] What Requires C and what is just python
On Sun, Mar 20, 2011 at 11:49 AM, josef.p...@gmail.com wrote: On Sun, Mar 20, 2011 at 11:44 AM, josef.p...@gmail.com wrote: On Sun, Mar 20, 2011 at 11:08 AM, Ben Smith b...@wbpsystems.com wrote: So, in addition to my computer science work, I'm a PhD student in econ. Right now, the class is using GAUSS for almost everything. This sort of pisses me off because it means people are building libraries of code that become valueless when they graduate (because right now we get GAUSS licenses for free, but it is absurdly expensive later) -- particularly when this is the only language they know. this looks interesting on this topic: http://www.vwl.uni-mannheim.de/gaudecker/teaching.htm Josef So, I had this idea of building some command line tools to do the same things using the most basic pieces of NumPy (arrays, dot products, transpose and inverse -- that's it). And it is going great. My problem however is that I'd like to be able to share these tools but I know I'm opening up a big can of worms where I have to go around building numpy on 75 peoples computers. What I'd like to do is limit myself to just the functions that are implemented in python, package it with py2exe and hand that to anyone that needs it. So, my question, if anyone knows, what's implemented in python and what depends on the c libraries? Is this even possible? I think you can package also numpy with py2exe. I should have explained this first: all basic numpy array calculations are in C, extra packages in scipy are often in fortran. numpy.linalg uses C, but scipy.linalg uses the fortran libraries that are the same (LAPACK,..) or similar versions as in GAUSS. numpy.random is in C, scipy.special for distribution functions is in C and fortran. Josef Overall I think restricting to pure python is a very bad idea if you want to compete with Gauss. Even for a minimal translation of Gauss programs I need at least numpy and scipy, and statsmodels for the econometrics specific parts. linear algebra, optimization and special functions for distributions look like a minimum to me, and some scipy.signal for time series analysis, and more random numbers than in python`s standard library. Pure python will be slow for this and I doubt you will get anyone to switch from Gauss to pure python. Also, I haven`t seen yet a pure python matrix inverse, or linalg solver. If they want to write their own python programs for analysis and use python later on, then they are much better of getting a full python distribution, EPD, pythonxy or similar. Binary distributions are available and just one click or one command installs. And, for example, using Spyder would be a lot nicer and easier for writing scripts, that are equivalent to Gauss scripts, than using commandline tools. I fully agree with the objective of getting python/numpy/scipy tools to get economists, econometricians to switch from gauss or matlab, but to make it competitive we need enough supporting functions and we need the speed that some Monte Carlo simulations don`t take days instead of hours. I hope you are successful with getting economists or econ students to use python. Josef Thanks! Ben -- Ben Smith Founder / CSA WBP SYSTEMS http://www.wbpsystems.com ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] What Requires C and what is just python
I'll add my $0.02 here. Someone mentioned SAGE. I can say that on the Mac the sage package seems to install very easily and reliably. I've done 4 installations on Macs 10.4 to 10.6. You can do them with one command line. They take a few hours, but all have gone flawlessly. The installation contains a LOT of python stuff (including all the packages mentioned here) and you use it just like any other installation except you need to point to the sage folder. There are examples in the documentation. -- Lou Pecora, my views are my own. ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] What Requires C and what is just python
On 3/20/2011 11:08 AM, Ben Smith wrote: I'd like to do is limit myself to just the functions that are implemented in python, package it with py2exe and hand that to anyone that needs it. So, my question, if anyone knows, what's implemented in python and what depends on the c libraries? Perhaps a different approach is preferable. Get them to install the Enthought Python Distribution (free for academic use) and provide some GAUSS function look alikes, along this line http://econpy.googlecode.com/svn/trunk/pytrix/pyGAUSS.py fwiw, Alan Isaac ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
