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I'd like to exercise MongoDB in a real world project so I'm wondering what are the Python frameworks that support MongoDB as the main database out of the box (and are well documented)?
If you're talking Web-Frameworks there's Tornado or Mongo-kit in Flask or Flask-PyMongo that have great support for MongoDB, but at the end of the day it's all easily pluggable.
I'm not sure what you mean by "out of the box" but I have successfully used MongoDB with Tornado web server in a number of projects.
You can very easily interface with MongoDB using several libraries. My favorites are:
PyMongo: http://api.mongodb.org/python/2.2/
Mongoengine: http://mongoengine.org/
IMO Mongonegine is an excellent tool for communicating to Mongo through Python and it is relatively well documented. I particularly like the fact that Mongoengine provides concrete examples in the documentation (which is really nice for a beginner).
You can use django-mongokit as excellent framework for your project. It bridges Django to MongoDB with the MongoKit ODM (Object Document Mapper).
As Django is most widely and successfully used in many projects, which has big community support and lots of packages are available that can be easily implement in the project.
We had successfully implemented it in our project which is available at github.
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Be default, django only provides support for testing relational databases. I have project which uses
mongodb (with mongoengine) as primary database, along with persistent redis for other database needs.
I know the way to go is to overwrite TestCase class already provided by django, for different database systems.
But is there any library for django already written for this purpose, so that I don't need to reinvent the wheel?
There is a python package called Django Test Addons which does exactly what you are asking for. It provides support for testing mongodb, redis along with few other databases like neo4j with django.
pip install django-test-addons
Documentation:- Read the docs
Github url:- Source code
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I want to start new project to help students. And I planned to use Python( Django framework ) for backend and mysql for database. Nowadays I researched about NoSQL databases and found MongoDB. However I searched about Django support for MongoDB seems like it is not supported officially. So, how can I use MongoDB with Django ?
You can use MongoEngine which is a ODM (Object Document Mapper) for Python. It supports Django Auth, Sessions and other nice stuff.
http://docs.mongoengine.org/en/latest/
However you can not use the Django Admin with MongoDB althought there are projects trying to reach this, none of them is totally stable
Django 1.5 supports Mongodb for installing and configuring it please follow the following link
https://django-mongodb-engine.readthedocs.org/en/latest/topics/setup.html.
It provides a customised django 1.5 which helps in working with mongodb
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Openstack has several services written in python .
I want to know what is the python library used to write those services .
Further , I also would like to know are there any tutorials to write such kind of services .
Several python solutions exists , here are some of them :
Django REST framework and Tastypie are the two most widely used API frameworks to use with Django.
Flask-RESTful and Flask API are popular libraries for exposing APIs from Flask web applications.
Sandman is a widely used tool to automatically generate a RESTful API service from a legacy database without writing a line of code .
Restless is a lightweight API framework that aims to be framework agnostic. The general concept is that you can use the same API code for Django, Flask, Bottle, Pyramid or any other WSGI framework with minimal porting effort.
Eve is a Python REST framework built with Flask, MongoDB and Redis.
You can find many tutorials that deal with RESTful API's with python .
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I develop open-source project in Python and I want it to be easy accessible for Windows users. So for each new source revision I need to generate new windows executable distribution with py2exe and upload it as a downloadable artifact for project users.
I'd rather not do it each time manually but instead I would like to write some type of script that will do both things (generation, upload) in single command, fully programically.
So the question is: are there any Open Source project hostings that provide simple API to make operations like uploading new version of distribution?
Currently I'm using Google Code but it doesn't support that feature (I expected it to be supported as Google Data Api Service but it isn't). I don't really know too much about other hostings - that's why I'm asking.
Check out the GitHub Downloads API or, if it's something suitable for packaging, then look at PyPI, the Python Package Index
Google Code does support it perfectly well: http://code.google.com/p/support/wiki/ScriptedUploads
Most other such sites do in a similar way; on one project on SourceForge, for example, I have a release script which uploads a file to the release system by FTP.
The Python Distutils that come with Python support uploading to the Python Package Index.
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I'am starting to use Python and web-app building with Flask and coming from an Java EE background this is a lot of fun. But now I need to communicate with my Solr server and I would like a client lib that is just as plain, simple and fun, so what can you recommend and why?
I personally prefer Sunburnt. I've started using Python recently as well, and really like the package and how it enables functionality that maps logically on top of Solr. Just like Python, it does what you need it to do and doesn't get in your way.
I haven't been able to find a good library that was nice to use and was maintained and actively supported. I started working on a new python client that I plan to keep up to date with new python and Solr releases. I am still rolling in new features, but it is usable and generally stable.
Check it out here:
https://github.com/moonlitesolutions/SolrClient