[S.Lott answer][1] is still valid after years, I try to complete the analysis with the tools and format to do the job.
There are many Drupal export tools out of there by now but with the very same request I go for [Views Datasource][2] choosing JSON as format. This module is very solid and available for the last version of Drupal. The [JSON][3] format is very fast in both parsing and encoding and it's easy to read and very Python-friendly ([import json][4]).
Using Views Datasource you can create a node view sorted by node id (nid), show a limited number of elements per page, configure a view path, add to it a filter identifier and pass to it the nid to read all elements until you get an empty JSON response.
When importing in Django you have a wide set of tools as well, starting from [loaddata to load fixtures][5]. Views Datasource exported JSON but it's not formatted as Django expects fixtures: you can write a [custom admin command][6] to do the import, where you can have the full control of the import flow.
You can start your command passing a nid=0 as argument and then let the procedure read, import and then fetch data from the next page passing simply the last nid read in the previous HTTP request. You can even restrict access to the path on view but you need additional configuration on the import side.
Regarding performance, just for example I parsed and imported 15.000+ nodes in less than 10 minutes via a Django 1.8 custom admin command on an 8 core / 8 GB Linux virtual machine and [PostgreSQL][7] as DBMS, logging success and error information into a custom model for each node.
These are the basics for import/export between these two platform, for detailed information I described all the [major steps for export from Drupal and then import to Django in this guide][8].
[1]:
[To see links please register here]
[2]:
[To see links please register here]
[3]:
[To see links please register here]
[4]:
[To see links please register here]
[5]:
[To see links please register here]
[6]:
[To see links please register here]
[7]:
[To see links please register here]
[8]:
[To see links please register here]