[SciPy-user] Any Books on SciPy?
Wed Feb 28 09:26:10 CST 2007
While I agree with some of the criticisms of the
Langtangen book I do think it covers some topics that
are really hard to find elsewhere. He does go into
depth and cover a lot of writing C/C++ extensions.
Overall the book has a lot of information. Thumbs
down on parts that rely on his own code, especially
the Perl stuff, but Thumbs Up on parts that show you
details you have a hard time finding elsewhere.
The biggest problem with the book is one that ALL
printed documents face with Python (and probably other
open source projects): staying current. Things
change fast and books go out of date fast. Web
sources and discussion list like this one are
The way I see it as a user of scientific python
packages the biggest barriers to new users and even
* Getting documention, examples and tutorials for
various package. Can vary greatly depending on each
* Figuring out how to install packages (an on-going
battle for all)
* Figuring out package dependencies (e.g. do I need
wxPython with matplotlib?)
* Figuring out which versions of each package are
compatible with other packages' versions.
I bet I'm not the only one who gets nervous when
he/she has to update a package.
--- Fernando Perez <email@example.com> wrote:
> On 2/27/07, John Hunter <firstname.lastname@example.org> wrote:
> > On 2/27/07, Robert Love <email@example.com>
> > > Are there any good, up to date books that people
> recommend for
> > > numerical work with Python?
> > >
> > > I see the book
> > >
> > > Python Scripting for Computational Science
> > > Hans Petter Langtangen
> > >
> > > Does anyone have opinions on this? Is it
> current? Are there better
-- Lou Pecora, my views are my own.
Three laws of thermodynamics:
First law: "You can't win."
Second law: "You can't break even."
Third law: "You can't quit."
-- Allen Ginsberg, beat poet
Expecting? Get great news right away with email Auto-Check.
Try the Yahoo! Mail Beta.
More information about the SciPy-user