Develop Reference

Flowchart to script converter

Is there any open source tool capable to generate python or perl scripts from a flowchart? AFAIK, Labview is the only tool really able to do this. I need this in order to simplify scripting for low-technical-skilled users.
Any other suggestion is welcome. Thanks!
EDITED:
For anyone interested in this subject, I've found Drakon Editor, a nice graphical code composer for Python, C/C++ and Tcl:

What about following tools for Perl:
Perl Node Interface
VECT - although this is quite specialized

I suppose Perl module Devel::Graph will help you, please check it.
I hope that what are you looking for.
CPAN module Devel::Graph

Is it time to cut over to Python 3.x now or not?

Is 2.x still the norm or would you recommend just coding in v3 at this point?

Python 3 is still a long way off having universal support from tools, libraries and distros, so its use in production would depend very much on whether the bits you need (or are likely to need in the near future) have been ported.
For exploratory, educational and other uses, it depends very much on your own proclivity for living on the bleeding edge. If you are happy building from source and debugging and hacking third-party libraries to get things working, then you'll probably have no issues with Python 3. Otherwise, stick to the latest your distro offers, and if it is stuck on a really old Python — CentOS is still on 2.4! — you have my commiserations. Personally, I steer clear of CentOS for precisely this reason.

Google App Engine documentation states it uses Python 2.5
Today I happened to notice that Python Imaging Library is till not released for 3.x.
So, if you need those libraries or services, I guess you should wait.

Do the frameworks and libraries you use have Python 3 versions? Libraries you use for development, and does your deploy stack support Python 3?
Many Python projects have a lot of dependancies, especially web based projects, most of which aren't Py3K ready yet.
If your stack is good, sure - Python 3 is the future, might as well embrace it now.

My main use of Python is Django. Support for 3.x for this framework still lies in the future, unfortunately, and who knows about any related modules - so no, it's not quite time for many people.
I actually bought Python 3 books last year when I started learning Python, thinking "I'll just start with 3 from the beginning!". That didn't work out, though.

I've always used v3 primarily. "Hacking 3rd party libraries" to me is just like importing any other module. The only thing is since most stuff still uses v2 you have to know both versions and keep them straight when looking at others code.

Is there a Python version of CPAN?

So I've been using Perl for several years now and I'm starting to dabble a little in Python. Is there a sort of CPAN but for Python? What's the normal way to manage modules in Python? Any direction would be greatly appreciated. FWIW I use Linux so Windows-only solutions aren't really useful to me.

The repository formerly known as Cheese Shop.
PyPI
The Python Package Index is a repository of software for the Python programming language. There are currently 9140 packages here. To contact the PyPI admins, please use the Get help or Bug reports links.
Also, take a look at
SIG for Python Resource Cataloguing
This SIG exists in order to discuss and build a catalog of Python resources. The SIG charter is:
The Python Catalog SIG (Special Interest Group) aims at producing a master index of Python software and other resources. It will begin by figuring out what the requirements are, converging on a design for the data schema, and producing an implementation. ("Implementation" will almost certainly include mean a set of CGI scripts for browsing the catalog, and may also contain a standard library module for automatically fetching and installing modules, if the SIG decides that's a worthwhile feature.)

Check out Python eggs / easy_install

What's a good library to do computational geometry (like CGAL) in a garbage-collected language?

I need a library to handle computational geometry in a project, especially boolean operations, but just about every feature is useful. The best library I can find for this is CGAL, but this is the sort of project I would hesitate to make without garbage collection.
What language/library pairs can you recommend? So far my best bet is importing CGAL into D. There is also a project for making Python bindings for CGAL, but it's very incomplete.

I would still recommend to proceed with Python and the existing Python binding. When you find it's incomplete, you'll also find that it is fairly easy to extend - Python's C API is designed so that integrating with external libraries is fairly easy (for experienced C programmers).

Perhaps you can look at Shapely for python
http://pypi.python.org/pypi/Shapely/
For Java I would use JTS
For .NET I would use SharpMap or .NETTopologySuite

The CGAL-bindings project provides bindings for CGAL using SWIG. The targeted languages, so far, are Java and Python. The CGAL-bindings project is open source, and supported/founded by two french companies.

JTS is also available in .NET via IKVM.

I've just found this and it seems very promising even if it seems a young project: https://pyrr.readthedocs.org/en/latest/index.html#
Pyrr is a Python mathematical library.
and it is based on numpy!

New to Python. Need info on the environment for it

I'm a complete newbie to Python. I've worked on PHP/JavaScript earlier but starting today I'm moving onto Python. I have no idea about the environment needed for it. I could use some suggestions on it for me to get started.

Under Unix, Emacs is a good choice, to which I always come back, because it is convenient to have a single editor for everything, and because it's open source.
What is best for you depends on your past experience with IDEs. I'd say: stick with what you've been using, or take this opportunity to try an even better IDE.
Note: Python comes with Idle, which is a very simple (if limited) IDE.

Be sure to check out IPython. It's an enhanced interactive python shell with a bunch of useful features such as Tab-Completion using introspection (eg, type "my_object." to see a list of its attributes and methods), logging your interactive session to an executable python-file, defining macros, etc. The documentation page has a link to the tutorial as well as screencasts showing it in action.

On my mac/Linux machines, python came pre-installed. On windows I use both jython under the eclipse IDE and ActivePython with their IDE/eclipse.   With eclipse you'll want PyDev.

It all depends on what you are looking for and what you are already using.
For instance, if you are using a more 'simple' editor at the moment: as long as it's got Python syntax you've got the basics.
If you are used to e.g. Eclipse you can just continue to use that, combined with Pydev. Besides syntax highlighting you'll also get more fancy features to help you debug and refactor your code.
Personally I use Emacs with python-mode (and a few other modes to interface with Subversion and Git). In the past I used Vim which also worked quite well.
My advice would be to start out with your current environment as long as it has some rudimentary support for Python. Once you are familiar with the language, start exploring what your environment is missing and either add it or if you cannot, switch to an enviroment which does support the feature.

I use gvim with some plugin in order to have better support for python.
If you like IDE, look at wing IDE wich is the best I have tested so far. Especially the debuger included is really helpful.

The Python Beginner's Guide and the official Python Tutorial both seem like good places to start.

Geany is a good option for a Linux setup, it's intellisense isn't that great but syntax highlighting is good and it can compile your code directly from inside the editor, plus it handles other languages such as C/C++, PHP, Java etc... Eric is another popular choice as it's a full IDE and I know some people use Eclipse.
On windows I use Notepad++, but it's mostly because I like text editors instead of fully blown IDE's.
Reference wise Daniel's choices are very good places to start, also check out Green Tea Press who do free computer books, there are two Python choices on there but the "Python for Software Design" book hasn't yet been published properly although you can download the manuscript. The "How to Think Like a Computer Scientist" book is a good one and not as scary as it sounds.

IDLE is nice to try out things. Other tools that people like are Eclipse with the Pydev plugin which seems to work ok, although it has crashed a few times (Eclipse, that is) and NetBeans (which I haven't tried) but some people seem to like.

I can only help you if you're running a Mac. Download Xcode. I believe that Python 2.3 comes bundled with these development tools. Luckily enough, this is all you really need to get started, unless you want a newer version of Python.
All you need to do is open up Terminal and type python. You're done!