Groups | Search | Server Info | Keyboard shortcuts | Login | Register [http] [https] [nntp] [nntps]

Groups > comp.lang.python > #105940 > unrolled thread

Re: Which are best, well-tested ways to create REST services, with Json, in Python?

Back to article view | Back to comp.lang.python

This discussion starts older than the indexed window; earlier articles aren't shown. The article labeled Started by below is the oldest one visible, not the original post.

Contents

  Re: Which are best, well-tested ways to create REST services, with Json, in Python? justin walters <walters.justin01@gmail.com> - 2016-03-28 18:35 -0700

#105940 — Re: Which are best, well-tested ways to create REST services, with Json, in Python?

On Mon, Mar 28, 2016 at 5:17 PM, David Shi <davidgshi@yahoo.co.uk> wrote:

> Hello, Justin,
>
> I am thinking of a fast, responsive, secure way of doing this.  Python at
> server-side.  It provides REST services.  Data exchange with the
> web--page.  Formatted XML or Json.
>
> Ideally, it uses the least code.
>
> Any excellent literature describes this?  I like articles which give
> insight into the nitty-gritty.
>
> Looking forward to hearing from you.
>
> Regards.
>
> Shao
>
>
>
>

David,

Please reply all on this list.

My preferred method is to use Django with Django Rest Framework. Django is
a very mature and robust framework with a ton of features. I use it in
production for several projects and have very few issues. It includes
middleware authentication and security features as well. You can find the
Django documentation here: https://docs.djangoproject.com/en/1.9/. If
you've never used Django before, I recommend going through the official
tutorial. It is also advised to use Python 3.4+.

Django rest framework is probably one of the best documented packages out
there. You can find it's documentation here:
http://www.django-rest-framework.org/. The official tutorial is very
in-depth. I would recommend working through it as well. DRF includes a lot
of functionality and multiple authentication and serialization methods.


There are other options as well depending on the scale of your project you
may choose to use something like flask: http://flask.pocoo.org/ with
flask-restful and sqlalchemy.

Like I said my personal recommendation is Django and DRF as it is easy to
set up, there isn't much overhead, and it scales very well.

Does that answer your question, or were you looking for more information?

[toc] | [standalone]

Back to top | Article view | comp.lang.python

csiph-web