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The UMLtoPython/Django tool automatically generates full-fledged Python/Django applications from UML class diagrams. The generated application offers all basic CRUD (Create/Read/Update/Delete) functionalities to show and manipulate the application data (see the examples below). More specifically, the service generates the models.py and admin.py files required by Django in order to automatically generate all the CRUD functionality for the application. Form Validation checks (to guarantee that all mandatory attributes are filled, that the input text can be converted to the expected data type, that foreign keys are respected,…) This tool is implemented as a service ( SaaS ). Simply upload the xmi file storing your UML class diagram, (optionally) indicate configuration parameters for the generation and, you will get as a result the files needed to immediately run your application!.
UML2Python - Full code generator for Python Applications | MOdeling LAnguages
Kicking Ass and Taking Names “I wanted to do in boxing what Bruce Lee was able to do in karate. Lee was an artist, and, like him, I try to get beyond the fundamentals of my sport. I want my fights to be seen as plays.” - Sugar Ray Leonard
How to Write an HTML5 Game in 30 Days with JQuery and Python
Developing with Google App Engine, Part I | Think Vitamin
I’m a front-end engineer slash designer who likes to think he can dabble in code. With my simple side projects I do a passable job and my hacks limps along, most likely inefficiently and always on the verge of breaking, but getting the job (mostly) done. But where I almost always trip up and get lost — in days of hair pulling frustration — is when I’m setting up my local development or live production environment. It’s so difficult to find an accurate, knowledgeable and up-to-date walkthrough for frameworks like Rails or Django that it’s almost comical.Running Pure Django Projects on Google App Engine - Google App Engine - Google Code
Introduction Django-nonrel is a project which allows developers to run native Django projects (including Django's ORM) on non-relational databases, one of which is Google App Engine's Datastore. (This is all in addition to the standard traditional SQL databases that have always been supported by Django.) App Engine does come with some Django support, but this is mainly only the templating and views. Other tools that allow for rapid development such as forms, the built-in administration interface or Django authentication just won't run out-of-the-box.
Tech Blog » Develop and deploy Applications using Google App Engine : Tutorial
About two years back Google launched a platform that enabled developers to develop and host web applications in Google’s web server. Though Google has offered many APIs for the ease of the programmers, many are reluctant to release their apps in Google’s web sphere. Recently I was talking to a web developer about this and he told me that the interface offered by Google is some what obscure.
This post is primarily intended for App Engine users (and of those, only Python users :-). Over the past months I've been working on a new design for the Python datastore API, under the code name Datastore Plus. The new design is very ambitious, and changes a lot of things: The design is meant to eventually replace the existing db package in the App Engine runtime library, but for now, it is just an open source project which you have to download and copy into your application.
A new App Engine datastore API
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Applications Overview
Run your web applications on Google's infrastructure. Every Google App Engine application will have enough CPU, bandwidth, and storage to serve around 5 million monthly pageviews for free. You can purchase additional resources at competitive prices when you need them and you'll pay only for what you use. This is a preview release of Google App Engine.
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Recently, at a prospective client, we were asked to make a comparison between Amazon EC2 and Google App Engine . Having recently done fairly large-scale projects on both of them, we think that we could make a fairly valid summarization of our thoughts. With this post, I would like to put our thoughts out for consumption and debate. Amazon gives you access to the boxes in the cloud with the operating system and you do the whole setup required for your application, or you can use the AMI(Amazon Machine Image).