I was working around combining c++ and python together and found that there is something called <include Python.h> which can be very helpful and calling functions from a python file or simply communicating with any python script.
I wondered how we will be able to distribute these binding i.e. a program of c++ communicating with a python script to systems not having Python installed or having unmatched versions of python installed.
Also I found that somehow Sublime Text packages Python runtime, libraries and python scripts to distribute to machines where python may or may not be installed. I wanted to know how is this done and what are the reference links which might be useful in knowing more on the topic.
Sublime Text Root Directory Image containing distributable python runtime and python scripts
Similar kind of implementation was also seen with Google Backup and Sync Software.
I have writing a program using Java Processing.org programming language and it uses some python scripts. Circumstances exist that I cannot change or re write these python scripts in processing.
My problem is I need to bundle this all together and create software bundle for Mac OS X for easy installation. I know there is option in Processing IDE to create software bundles but that will ignores the python files, even so client's machine could not have python installed.
I thought about creating python executable and putting it in to the bundle. Could anyone suggest me better options or software tools to do this.
Regards,
Waruna
Python is shipped with Mac OS X, so your clients should be able to run the scripts.
You do not need to create a "Python executable" as the Python interpreter can just run the .py files.
A Mac OS X application bundle (essentially being a folder) contains a folder Contents which in turn contains the binary application files, resources, etc. You can place your .py files within the .app bundle and call them from within your Java code.
The bundle documentation is available here http://developer.apple.com/library/mac/#documentation/CoreFoundation/Conceptual/CFBundles/Introduction/Introduction.html
It sounds like you're trying to deliver some Python modules in a user friendly manner (i.e., without the end users having to know about easy_install or whatever).
I am no expert in this area, but it seems to me like you're trying to solve a similar problem that the Mercurial people solved, you may want to have a look at what they did. This is how Mercurial is delivered on the Mac - http://mercurial.berkwood.com/.
I'm a .NET developer who knows very little about Python, but want to give it a test drive for a small project I'm working on.
What tools and packages should I install on my machine? I'm looking for a common, somewhat comprehensive, development environment.
I'll likely run Ubuntu 9.10, but I'm flexible. If Windows is a better option, that's fine too.
Edit: To clarify, I'm not looking for the bare minimum to get a Python program to run. I wouldn't expect a newbie .NET dev to use notepad and a compiler. I'd recommend Visual Studio, NUnit, SQL Server, etc.
Your system already has Python on it. Use the text editor or IDE of your choice; I like vim.
I can't tell you what third-party modules you need without knowing what kind of development you will be doing. Use apt as much as you can to get the libraries.
To speak to your edit:
This isn't minimalistic, like handing a .NET newbie notepad and a compiler: a decent text editor and the stdlib are all you really need to start out. You will likely need third-party libraries to develop whatever kind of applications you are writing, but I cannot think of any third-party modules all Python programmers will really need or want.
Unlke the .NET/Windows programming world, there is no one set of dev tools that stands above all others. Different people use different editors a whole lot. In Python, a module namespace is fully within a single file and project organization is based on the filesystem, so people do not lean on their IDEs as hard. Different projects use different version control software, which has been booming with new faces recently. Most of these are better than TFS and all are 1000 times better than SourceSafe.
When I want an interactive session, I use the vanilla Python interpreter. Various more fancy interpreters exist: bpython, ipython, IDLE. bpython is the least fancy of these and is supposed to be good about not doing weird stuff. ipython and IDLE can lead to strange bugs where code that works in them doens't work in normal Python and vice-versa; I've seen this first hand with IDLE.
For some of the tools you asked about and some others
In .NET you would use NUnit. In Python, use the stdlib unittest module. There are various third-party extensions and test runners, but unittest should suit you okay.
If you really want to look into something beyond this, get unittest2, a backport of the 2.7 version of unittest. It has incorporated all the best things from the third-party tools and is really neat.
In .NET you would use SQL Server. In Python, you may use PostgreSQL, MySQL, sqlite, or some other database. Python specifies a unified API for databases and porting from one to another typically goes pretty smoothly. sqlite is in the stdlib.
There are various Object Relational Models to make using databases more abstracted. SQLAlchemy is the most notable of these.
If you are doing network programming, get Twisted.
If you are doing numerical math, get numpy and scipy.
If you are doing web development, choose a framework. There are about 200000: Pylons, zope, Django, CherryPy, werkzeug...I won't bother starting an argument by recommending one. Most of these will happily work with various servers with a quick setting.
If you want to do GUI development, there are quite a few Python bindings. The stdlib ships with Tk bindings I would not bother with. There are wx bindings (wxpython), GTK+ bindings (pygtk), and two sets of Qt bindings. If you want to do native Windows GUI development, get IronPython and do it in .NET. There are win32 bindings, but they'll make you want to pull your hair out trying to use them directly.
In order to reduce the chance of effecting/hosing the system install of python, I typically install virtualenv on the ubuntu python install. I then create a virtualenv in my home directory so that subsequent packages I install via pip or easy_install do not effect the system installation. And I add the bin from that virtualenv to my path via .bashrc
$ sudo apt-get install python-virtualenv
$ virtualenv --no-site-packages ~/local
$ PATH=~/local/bin:$PATH #<----- add this to .bashrc to make it permanent
$ easy_install virtualenv #<--- so that project environments are based off your local environment rather than the system, probably not necessary
Install your favorite editor, I like emacs + rope, but editors are a personal preference and there are plenty of choices.
When I start a new project/idea I create a new virtual environment for that project, so that I don't effect dependencies anywhere else. Since I would hate for some of my projects to break due to an upgrade of a library both that project and the new one depends on.
~/projects $ virtualenv --no-site-packages my_new_project.env
~/projects/my_new_project.env $ source bin/activate
(my_new_project.env)~/projects/my_new_project.env $ easy_install paste ipython #whatever else I think I need
(my_new_project.env)~/projects/my_new_project.env $ emacs ./ & # start hacking
When creating a new package...in order to have something that will be easy_installable/pippable use paster create
(my_new_project.env)~/projects/my_new_project.env$ paster create new_package
(my_new_project.env)~/projects/my_new_project.env/new_package$ python setup.py develop new_package
That's the common stuff as far as I can think of it. Everything else would be editor/version control tool specific
Since I'm accustomed to Eclipse, I find Eclipse + PyDev convenient for Python. For quick computations, Idle is great.
I've used Python on Windows and on Ubuntu, and Linux is much cleaner.
If you launch a terminal and type python you'll get an interpreter, where you can start trying stuff.
Just in case you haven't seen it, check out the book Dive Into Python, is free on-line.
http://www.diveintopython.org/
Follow the examples in the book using the interpreter.
For storing your work you could use any editor; Vim or EMACS could be the most powerful, but also the most difficult to learn at first. If you want a more "traditional" IDE, you could try WingIDE.
http://www.wingware.com/
After you start to get more comfortable with python you should try an enhanced interpreter; try ipython.
http://ipython.scipy.org/moin/
When you start to develop a more serious project you'll need to get additional modules. Here you have two options; 1) Use your distribution tools to install additional modules; or 2) Download the modules you need directly from their sites and install them manually. You'll be responsible to upgrade them of course.
You'll have to decide for yourself which way to go. Personally I prefer to download and install additional modules manually.
Python (duh), setuptools or pip, virtualenv, and an editor. I suggest geany, but that's just me. And of course, any other Python modules you'll need.
Getting to Python from .NET world
Jumping into the Linux world from a .NET / WIndows background can be a bit disconcerting (but I do encourage you to keep trying Linux)
But I would suggest to anyone coming from Windows, to stick with Windows for a little while. goto www.Activestate.com and download their Python package - it includes the full win32com extentions by Mark Hammond and it also includes a complete, fast IDE "pythonwin"
I have done real professional development with just this setup alone on a windows box - one 14MB .msi and off you go !
Now to use Python on the DLR (Dynamic common language runtime) you need to download IronPython. THis is a seperate interpreter, that was also originally written by Mark Hammond at Microsoft and is at ironpython.org.
With this you can run code like (from wikipedia) ::
import clr
clr.AddReference("System.Windows.Forms")
from System.Windows.Forms import MessageBox
MessageBox.Show("Hello World")
Now you can access any .NET code from python.
If you're just starting out with Python, I'd actually argue against bringing in the complexity of virtualenv (which I think can be pretty overwhelming), at least until you've got a firm grasp of Python basics (especially regarding library/dependency management).
If you're using Ubuntu and the Gnome desktop environment, gedit is the default (gui) text editor, and has great support for Python built in. So my recommendation is to start with the pre-installed Python and gedit (which is pretty extensible on its own).
You don't need much. Python comes with "Batteries Included."
Visual Studio == IDLE. You already have it. If you want more IDE-like environment, install Komodo Edit.
NUnit == unittest. You already have it in the standard library.
SQL Server == sqlite. You already have it in the standard library.
Stop wasting time getting everything ready. It's already there in the basic Python installation.
Get to work.
Linux, BTW, is primarily a development environment. It was designed and built by developers for developers. Windows is an end-user environment which has to be supplemented for development.
Linux was originally focused on developers. All the tools you need are either already there or are part of simple yum or RPM installs.
You would probably like to give NetBeans Python IDE a shot. You can choose to use either Windows/Linux.
Database: sqlite (inbuilt). You might want SQLAlchemy though.
GUI: tcl is inbuilt, but wxPython or pyQt are recommended.
IDE: I use idle (inbuilt) on windows, TextMate on Mac, but you might like PyDev. I've also heard good things about ulipad.
Numerics: numpy.
Fast inline code: lots of options. I like boost weave (part of scipy), but you could look into ctypes (to use dlls), Cython, etc.
Web server: too many options. Django (plus Apache) is the biggest.
Unit testing: inbuilt.
Pyparsing, just because.
BeautifulSoup (or another good HTML parser).
hg, git, or some other nice VC.
Trac, or another bug system.
Oh, and StackOverflow if you have any questions.
Pycharm Community is worth to try.
I'm looking for a way to let multiple Python programs coexist on the same Windows machine.
Here's the problem: suppose program A needs Python 2.5, B needs 2.6, C needs 3, and each of them needs its own version of Qt, Wx or whatever other modules or whatever.
Trying to install all these dependencies on the same machine will break things, e.g. you can install different versions of Python side-by-side but only one of them can have the .py file association, so if you give that to Python 2.5 then B and C won't work, etc.
The ideal state of affairs would be if program A could live in C:\A along with its own Python interpreter, Qt/Wx/MySQL driver/whatever and never touch anything outside that directory, ditto for B and C.
Is there any way to accomplish this, other than going the full virtual box route?
edit: I tried the batch file solution, but it doesn't work. That is, it works on simple test scripts but e.g. OpenRPG fails at some point in its loading process if its required version of Python doesn't own the file association.
VirtualEnv.
virtualenv is a tool to create
isolated Python environments.
The basic problem being addressed is
one of dependencies and versions, and
indirectly permissions. Imagine you
have an application that needs version
1 of LibFoo, but another application
requires version 2. How can you use
both these applications? If you
install everything into
/usr/lib/python2.4/site-packages (or
whatever your platform's standard
location is), it's easy to end up in a
situation where you unintentionally
upgrade an application that shouldn't
be upgraded.
See previous answer here.
The other tool you should look at is pip which is great for installing particular versions of a library into a virtual environment. If you need to run v 1.0 of a library in python v 2.x for one application and 1.1 of the same library in python v 2.x, for example, you will need virtualenv plus a means of installing a particular version in that environment. Virtualenv + pip is your best choice.
Use batch files to run scripts, write in notepad for example:
c:\python26\python.exe C:\Script_B\B.py
and save it as runB.bat (or anything .bat). It will run with interpreter in c:\python26\python.exe file specified after a whitespace.
One solution would be to craft a batch file that invokes the correct interpreter for a given application. THis way, you can install additional interpreters in separate folders.
Probably not perfect but it works.
Have you considered compiling them to EXEs? Once you do that, all you have to do is call the EXE, for which the machine does not require python to be installed. All the required modules etc are packaged with the distribution when you compile.
write a python script that mimics the way unix shells handle scirpts -- look at the first line and see if it matches #!(name-of-shell). Then have your python script exec that interpreter and feed it the rest of its arguments.
Then, associate .py with your script.
It looks like the best solution is a batch file that sets the file association before running the appropriate version of Python, as mentioned in the comments to one of the answers here: how to run both python 2.6 and 3.0 on the same windows XP box?
I've got a python project I've been making in terminal with vim etc.. I've read that XCode supports Python development at that it supports SVN (which I am using) but I can't find documentation on how to start a new XCode project from an existing code repository.
Other developers are working on the project not using XCode - They won't mind if I add a project file or something, but they will mind if I have to reorganise the whole thing.
I don't think it's worth using Xcode for a pure python project. Although the Xcode editor does syntax-highlight Python code, Xcode does not give you any other benefit for writing a pure-python app. On OS X, I would recommend TextMate as a text editor or Eclipse with PyDev as a more full-featured IDE.
I recommend against doing so. Creating groups (which look like folders) in Xcode doesn't actually create folders in the filesystem. This wreaks havoc on the module hierarchy.
Also, the SCM integration in Xcode is very clunky. After becoming accustomed to using Subversion with Eclipse, the Subversion support in Xcode is hopelessly primitive. It's almost easier to just do svn commands on the command line just so it's clear what's going on.
If you must use Xcode, use it to open individual py files. Use it as a slow, relatively featureless text editor.
If you must use Xcode for SCM, take a look at their guide to using Xcode with Subversion.
There are no special facilities for working with non-Cocoa Python projects with Xcode. Therefore, you probably just want to create a project with the "Empty Project" template (under "Other") and just drag in your source code.
For convenience, you may want to set up an executable in the project. You can do this by ctrl/right-clicking in the project source list and choosing "Add" > "New Custom Executable...". You can also add a target, although I'm not sure what this would buy you.
Also see:
http://lethain.com/entry/2008/aug/22/an-epic-introduction-to-pyobjc-and-cocoa/