I am trying to make a web application to perform scientific and engineering calculations. I am new to web developing and I've been looking for a free framework (with free hosting), that's why I came to Google App Engine, but there is no way to get scipy working, so I decided to switch to Java instead of python (although I found PythonAnywhere and it has numpy, scipy, etcetera, it has no GUI-building support like PyQt, wx, Tkinter...).
I would like to know if there is a way to use COLT or so for Java in the Google App Engine, or if there is some other option. I would rather free options since I'm at college, but cheap-customizable-options are totally welcome :D (even if it means to use another language)
PD: I hope this was understandable since english is not my language.
EDIT:
I TRIED to use apache commons math, and it seems like it's not going to work. The short answer to my question is: NO.
I believe GAE is severely limiting in what it will allow you to run.
I doubt you will find a completely free Java hosting solution.
To clarify the statements in other posts, GAE is incredibly limiting with respect to Python packages with C extensions. Anything pure Python will work fine. Scipy makes heavy use of C extensions, so it falls into this category.
Google recently introduced Python2.7 support, and with it, the ability to use NumPy on App Engine. I'm not sure if this covers your need, but it might be worth checking out.
I only develop with Python for Google App Engine, so I'm afraid I can't comment on the state of Java external dependencies.
GAE will limit lot of things if not all in your case. You might want to try out Heroku, Amazon Web Services within their free quota.
I see no reason not to do this. You can run front-end instances which can use 800MHz of processor and 128MB of RAM - you can run one all the time for free but you need to be able to split your tasks into 10min sections (if you use tasks, or 30 second sections otherwise). A backend is going to be chargeable and you'd probably find it cheaper to run on another system.
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I have been using Google Apps Script for a while and quite like how it can easily be deployed on the web. My question is: is there something similar to Google Apps Script for Python? That is, some where we can create a Python application and run it completely online without having to package or containerize the app.
I am also looking at Docker and Google's App Engine right now but haven't been able to get a clear picture of pros and cons.
Note: the practical application of what I am asking includes
manipulating large databases and let different clients run
manipulation scripts on their own cloud database themselves.
This is a very broad question, and not really the kind that Stackoverflow can help with. Trying reading How to create a Minimal, Complete, and Verifiable example?.
But to attempt to answer your question I need to break it down.
1) I assume that you are using the script editor / IDE for developing / debugging GScript (aka JavaScript) code. And that is the simplest way to develop Google Apps Script (GAS) software. There is no alternative to this for python or any other language. However it is not obligatory to use the IDE to write software that uses the Google Apps Script APIs.
2) This link, for example, is the Google Apps Script API quickstart that demonstrates how to use the GAS APIs from python.
3) However, to look at the big picture... you can regard GAS as an example of Serverless Computing, where the Google App Engine, AWS Lambda, and others (see the link) provide a straightforward environment for developing and deploying software without having to worry about packaging, containers, etc.
Docker might offer some advantages over traditional server deployment, but I would not regard it as an equivalent of serverless, as there is still a container environment to implement and manage.
The Pros and Cons of each are highly subjective, depending upon the nature of the problem your software needs to solve, and your starting point - if your business is already heavily into Azure or AWS then that might be the way to go. But if you require access to Google APIs for Maps, etc. then that might be the way to go, otherwise it probably boils down the specific services on offer, and cost.
I have a couple of Python 2.7 scripts I need to have them run from a webpage. I've never done this before, although I'm comfortable coding in Python and well versed in Linux, Apache, Nginx.
I see many different frameworks like the old CGI, WSGI, Django, etc.
I need some recommendations for a framework that would require not much changes on my Python code for it to run on a webpage.
It seems CGI would be fairly easy for me, but since there are many newer frameworks, I need some advices.
Thanks!
Flask is probably the most straightforward Python web framework to use. It touts itself as a micro framework, and is very, very fast to get up and running with.
If you have a relatively straightforward set of requirements, I'd highly recommend giving it a look over. You can find the "hello" world example on the project's homepage here: http://flask.pocoo.org/
Depending on your project's requirements (does it need to be highly available/resilient?), you may even be able to get by using Flask's built-in development webserver along with a process control system such as supervisord. I wouldn't recommend this for heavy or production workloads, but for something running out of production this set up would work just fine for you.
If you're looking for client side browser frameworks in Python, there are skulpt and brython.
When I was looking for a similar framework, I decided to learn leave python for a javascript framework (particularly AngularJS and Node JS) for a client side language. I personally felt that the size of community and learning resources available in those two areas were more robust, and provided greater opportunity to master the framework.
I'm investigating Google refine to speed up some of my data work -- never used it before this week, but I like a lot of what I see.
My biggest question so far is whether it's possible to call external python functions from Refine. I know you can call jython internally, but that doesn't provide access to C-based python libraries (e.g. lxml), and I have scripts elsewhere that I'd like to integrate, without lots of copy-paste or rewrite hassle.
What options are there for doing this in Refine? I'm willing to get creative -- I just want a stable, re-usable solution.
As Google Refine Wiki says:
lxml will NOT work in Jython, since lxml has C bindings for CPython (regular Python), hence will not work in Refine which is Jython / Java only, and has no CPython interpreter built-in
But you can try Google Refine Python Client Library to create projects and manipulate your data programmatically.
I'm going to mark reclosedev's answer as accepted, but there's still a litle more to the story.
The other answer to this question is that you can set up your own python-based API. For this project, I was able to set up a django app running on a local server. It only took an hour or so to build the API to my existing library.
More hassle than I'd have liked, but it fit the bill for this project without soaking up too much time.
I have a python program that I would like to present as a simple web application. The program currently uses sqlite for storage. I also need to distribute the whole thing to colleagues so having something standalone and easy to start would be ideal ( no install if possible). This web app is meant to be used locally , not by multiple users over a network.
Is there a suitable python framework that might fit my needs? I looked at Django so far but it seems a bit heavy handed for what I need.
Thanks for any suggestions.
I have never tried it myself, but you could try Bottle:
Bottle is a fast, simple and lightweight WSGI micro web-framework for
Python. It is distributed as a single file module and has no
dependencies other than the Python Standard Library.
try http://docs.python.org/library/simplehttpserver.html
As web frameworks are not part of the standard lib, you will have to install something in every case. I would propse to look at http://flask.pocoo.org/. It has a build in WSGI server.
Lots of choices for Python web frameworks! Another is web2py which is designed to work out of the box and allows, but doesn't require, through-the-web development. It is mature and has a strong community and is well-documented.
Tornado as a framework may be a lot more than what you're looking for. However it will meet the requirement of being a completely python based web server. http://tornadoweb.org
I generally just download the source, drop it in /tornado/ of my project and do includes there from the app.
I don't think that any web framework is specifically oriented for the use case you're talking about; They all assume they are running on a server and there's a browser on a remote machine that is accessing them.
A better approach is to think about the HTTP server you'll be using. It's probably preferable to use a server that's as easy to pack and ship as the rest of the python code you'll be using. Now most frameworks provide a 'development' server that's easy to invoke from the command line, but most of them are intended to be "easy for the developer" which often means they are restricted to a single thread. This is bad for deployment because single threaded servers will always feel a bit sluggish.
CherryPy stands out in contrast, by providing a full featured, embedded server that's easy to configure for many use cases, and is available by default with the rest of the framework. There are probably others, but I haven't used 'em.
I'm wondering if there's such a thing as Django-like ease of web app development combined with good deployment, debugging and other tools?
Django is a very productive framework for building content-heavy sites; the best I've tried and a breath of fresh air compared to some of the Java monstrosities out there. However it's written in Python which means there's little real support in the way of deployment/packaging, debugging, profilers and other tools that make building and maintaining applications much easier.
Ruby has similar issues and although I do like Ruby much better than I like Python, I get the impression that Rails is roughly in the same boat at Django when it comes to managing/supporting the app.
Has anyone here tried both Django and Grails (or other web frameworks) for non-trivial projects? How did they compare?
You asked for someone who used both Grails and Django. I've done work on both for big projects. Here's my Thoughts:
IDE's:
Django works really well in Eclipse, Grails works really well in IntelliJ Idea.
Debugging:
Practically the same (assuming you use IntelliJ for Grails, and Eclipse for Python). Step debugging, inspecting variables, etc... never need a print statement for either. Sometimes django error messages can be useless but Grails error messages are usually pretty lengthy and hard to parse through.
Time to run a unit test:
django: 2 seconds.
Grails: 20 seconds (the tests themselves both run in a fraction of a second, it's the part about loading the framework to run them that takes the rest... as you can see, Grails is frustratingly slow to load).
Deployment:
Django: copy & paste one file into an apache config, and to redeploy, just change the code and reload apache.
Grails: create a .war file, deploy it on tomcat, rinse and repeat to redeploy.
Programming languages:
Groovy is TOTALLY awesome. I love it, more so than Python. But I certainly have no complaints.
Plugins:
Grails: lots of broken plugins (and can use every java lib ever).
Django: a few stable plugins, but enough to do most of what you need.
Database:
Django: schema migrations using South, and generally intuitive relations.
Grails: no schema migrations, and by default it deletes the database on startup... WTF
Usage:
Django: startups (especially in the Gov 2.0 space), independent web dev shops.
Grails: enterprise
Hope that helps!
However it's written in Python which
means there's little real support in
the way of deployment/packaging,
debugging, profilers and other tools
that make building and maintaining
applications much easier.
Python has:
a great interactive debugger, which makes very good use of Python REPL.
easy_install anv virtualenv for dependency management, packaging and deployment.
profiling features comparable to other languages
So IMHO you shouldn't worry about this things, use Python and Django and live happily :-)
Lucky for you, newest version of Django runs on Jython, so you don't need to leave your whole Java ecosystem behind.
Speaking of frameworks, I evaluated this year:
Pylons (Python)
webpy (Python)
Symfony (PHP)
CakePHP (PHP)
None of this frameworks comes close to the power of Django or Ruby on Rails. Based on my collegue opinion I could recommend you kohana framework. The downside is, it's written in PHP and, as far as I know, PHP doesn't have superb tools for debugging, profiling and packaging of apps.
Edit: Here is a very good article about packaging and deployment of Python apps (specifically Django apps). It's a hot topic in Django community now.
The statement that grails deletes the database on start-up is completely wrong. It's behavior on start-up is completely configurable and easy to configure. I generally use create-drop when running an app in dev mode. I use update when I run in test and production.
I also love the bootstrap processing that lets me pre-configure test users, data, etc by environment in Grails.
I'd love to see someone who has really built and deployed some commercial projects comment on the pros / cons. Be a really interesting read.
Grails.
Grails just looks like Rails (Ruby),but it uses groovy which is simpler than java. It uses java technology and you can use any java lib without any trouble.
I also choose Grails over simplicity and there are lots of java lib (such as jasper report, jawr etc) and I am glad that now they join with SpringSource which makes their base solid.
I have two friends who originally started writing an application using Ruby on Rails, but ran into a number of issues and limitations. After about 8 weeks of working on it, they decided to investigate other alternatives.
They settled on the Catalyst Framework, and Perl. That was about 4 months ago now, and they've repeatedly talked about how much better the application is going, and how much more flexibility they have.
With Perl, you have all of CPAN available to you, along with the large quantity of tools included. I'd suggest taking a look at it, at least.
The "good deployment" issue -- for Python -- doesn't have the Deep Significance that it has for Java.
Python deployment for Django is basically "move the files". You can run straight out of the subversion trunk directory if you want to.
You can, without breaking much of a sweat, using the Python distutils and build yourself a distribution kit that puts your Django apps into Python's site-packages. I'm not a big fan of it, but it's really easy to do.
Since my stuff runs in Linux, I have simple "install.py" scripts that move stuff out of the Subversion directories into /opt/this and /opt/that directories. I use an explicit path settings in my Apache configuration to name those directories where the applications live.
Patching can be done by editing the files in place. (A bad policy.) I prefer to edit in the SVN location and rerun my little install to be sure I actually have all the files under control.
cakephp.org
Cakephp is really good, really close to ruby on rails (1.2). It is in php, works very well on shared hosts and is easy to implement.
The only downside is that the documentation is somewhat lacking, but you quickly get it and quickly start doing cool stuff.
I totally recommend cakephp.
Personally I made some rather big projects with Django, but I can compare only with said "montrosities" (Spring, EJB) and really low-level stuff like Twisted.
Web frameworks using interpreted languages are mostly in its infancy and all of them (actively maintained, that is) are getting better with every day.
By "good deployment" are you comparing it with Java's EAR files, which allow you to deploy web applications by uploading a single file to a J2EE server? (And, to a lesser extent, WAR files; EAR files can have WAR files for dependent projects)
I don't think Django or Rails have gotten quite to that point yet, but I could be wrong... zuber pointed out an article with more details on the Python side.
Capistrano may help out on the Ruby side.
Unfortunately, I haven't really worked with either Python or Ruby that much, so I can't help out on profilers or debuggers.