Py4Sci - Revision history

Admin at 16:35, 28 May 2011

2011-05-28T16:35:02Z

← Older revision		Revision as of 16:35, 28 May 2011
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	~~[[Category:~~Programs]]		{{Programs}}
	[[Category:~~Computers~~]]		{{Math Programs}}

			[[Category:Python]]

Admin: /* References */

2011-05-12T17:46:48Z

References

← Older revision		Revision as of 17:46, 12 May 2011
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	=References=		=References=

	* Official instructions for installing SciPy and NumPy on Mac OS X are here: http://www.scipy.org/Installing_SciPy/Mac_OS_X

	* Installing Matplotlib is easy too: just download the source code, or your platform's binary, from the Matplotlib SourceForge page: http://sourceforge.net/projects/matplotlib/

	~~You can download iPython for Mac by going to the iPython downloads page~~: ~~http~~:~~//ipython.scipy.org/moin/Download (installation instructions are contained in the iPython documentation, linked from that page)~~
			[[Category:Programs]]
			[[Category:Computers]]

Admin: /* Installation */

2011-05-12T17:45:58Z

Installation

← Older revision		Revision as of 17:45, 12 May 2011
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	This would go in one of your [[Dot files]], like <code>.profile</code> or <code>.bashrc</code>.		This would go in one of your [[Dot files]], like <code>.profile</code> or <code>.bashrc</code>.

	===Leopard===		===Leopard (OS X 10.5)===

	The binary installation process worked fine on Mac ~~OS X 10.5 (~~Leopard).		The binary installation process worked fine on Mac Leopard.


	==~~Mac~~ Snow Leopard==		===Snow Leopard (OS X 10.6)===

	On Snow Leopard, the straightforward steps presented on the "Installing Scipy and Numpy" page didn't work out so great.		On Snow Leopard, the straightforward steps presented on the "Installing Scipy and Numpy" page didn't work out so great.

Admin: /* Installation */

2011-05-12T17:43:33Z

Installation

← Older revision		Revision as of 17:43, 12 May 2011
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	This would go in one of your [[Dot files]], like <code>.profile</code> or <code>.bashrc</code>.		This would go in one of your [[Dot files]], like <code>.profile</code> or <code>.bashrc</code>.

			===Leopard===

			The binary installation process worked fine on Mac OS X 10.5 (Leopard).


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	On Snow Leopard, the straightforward steps presented on the "Installing Scipy and Numpy" page didn't work out so great.		On Snow Leopard, the straightforward steps presented on the "Installing Scipy and Numpy" page didn't work out so great.

			I ended up installing the Scipy and Numpy packages from source, and adding their locations to <code>$PYTHONPATH</code> by hand.

	==Windows==		==Windows==

	The instructions here are very straightforward...		The instructions here are very straightforward... Binary installers should work just fine.

	SciPy and NumPy installation instructions here: http://www.scipy.org/Installing_SciPy/Windows		SciPy and NumPy installation instructions here: http://www.scipy.org/Installing_SciPy/Windows
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	iPython installation is also easy, using the Windows binary provided here: http://ipython.scipy.org/moin/Download		iPython installation is also easy, using the Windows binary provided here: http://ipython.scipy.org/moin/Download



	=References=		=References=

Admin: Created page with "Py4Sci is a handy Python package consisting of four pieces: iPython (extends the python shell to behave more like Bash or Csh), Numpy (extends the numerical capabilities of P..."

2011-05-12T17:41:53Z

Created page with "Py4Sci is a handy Python package consisting of four pieces: iPython (extends the python shell to behave more like Bash or Csh), Numpy (extends the numerical capabilities of P..."

New page

Py4Sci is a handy [[Python]] package consisting of four pieces: iPython (extends the python shell to behave more like Bash or Csh), Numpy (extends the numerical capabilities of Python to be something more akin to [[Matlab]]), Scipy (provides functionality geared toward scientific/engineering applications), and Matplotlib (gives Python plotting capabilities).

The whole purpose of Py4Sci (a.k.a. Pylab) is to provide a free (as in speech, not as in beer) Python analog to [[Matlab]]. This is also extremely handy if you're dealing with a Python package like Cantera that is inherently numerical and requires plotting capabilities. (take a look at the bottom of the [[Using_Cantera#Python]] page for an example of the quality plots you can create with Matplotlib).

Official links to projects:

* [http://ipython.scipy.org/moin/ iPython]
* [http://numpy.scipy.org/ Numpy]
* [http://www.scipy.org/ Scipy]
* [http://matplotlib.sourceforge.net/ Matplotlib]

=Installation=

==Linux==

This is very straightforward, given that most every distribution's package manager has the above 4 Python extensions (in fact, many distributions already have at least some of the above packages, esp. iPython). Use the following commands for Debian-based distributions (e.g. Ubuntu):

<pre>
$ apt-get install ipython
$ apt-get install numpy
$ apt-get install scipy
$ apt-get install matplotlib
</pre>

where one may replace "apt-get" with the appropriate package manager (e.g. "yum" for Fedora).

==Mac==

This is a very easy and streamlined process that was was formerly (2008 or so) extremely difficult and frustrating. Yay!

In most cases, you can either install the binary version, or you can install Python packages from source using a three-step process.

The first step is to build the package:

<source lang="bash">
$ python ./setup.py build
</source>

The second step is to install the package. This is where you would specify a prefix if you don't want the package to be installed system-wide:

<source lang="bash">
$ python ./setup.py install
</source>

or

<source lang="bash">
$ python ./setup.py install --prefix=/path/to/package
</source>

The third and final step is to add <code>/path/to/package</code> to your <code>$PYTHONPATH</code> variable. The location of the necessary Python stuff can be found by tacking on a <code>lib/python2.7/site-packages/</code> to the end of <code>/path/to/package</code>.

You can always check this location and make sure there is a directory in site-packages with the name of the package you want to use. For example, if I wanted to use the numpy package from Python by issuing the Python command <code>from numpy import *</code>, then I would check there is a directory named numpy in the site-packages for the numpy installation location... etc...

So in the example I gave, you would add the following path to your <code>$PYTHONPATH</code> variable:

<source lang="bash">
export PYTHONPATH="/path/to/package/lib/python2.7/sitepackages:${PYTHONPATH}"
</source>

This would go in one of your [[Dot files]], like <code>.profile</code> or <code>.bashrc</code>.

==Mac Snow Leopard==

On Snow Leopard, the straightforward steps presented on the "Installing Scipy and Numpy" page didn't work out so great.

==Windows==

The instructions here are very straightforward...

SciPy and NumPy installation instructions here: http://www.scipy.org/Installing_SciPy/Windows

Matplotlib installation can be done using the Windows binary, available here: http://sourceforge.net/projects/matplotlib/

iPython installation is also easy, using the Windows binary provided here: http://ipython.scipy.org/moin/Download

=References=

* Official instructions for installing SciPy and NumPy on Mac OS X are here: http://www.scipy.org/Installing_SciPy/Mac_OS_X

* Installing Matplotlib is easy too: just download the source code, or your platform's binary, from the Matplotlib SourceForge page: http://sourceforge.net/projects/matplotlib/

You can download iPython for Mac by going to the iPython downloads page: http://ipython.scipy.org/moin/Download (installation instructions are contained in the iPython documentation, linked from that page)