There’s an amazing amount of data available on the Web. Many web services, like YouTube and GitHub, make their data accessible to third-party applications through an application programming interface (API). One of the most popular ways to build APIs is the REST architecture style. Python provides some great tools not only to get data from REST APIs but also to build your own Python REST APIs.
In this tutorial, you’ll learn:
- What REST architecture is
- How REST APIs provide access to web data
- How to consume data from REST APIs using the requests library
- What steps to take to build a REST API
- What some popular Python tools are for building REST APIs
By using Python and REST APIs, you can retrieve, parse, update, and manipulate the data provided by any web service you’re interested in.
uMap lets you create maps with OpenStreetMap layers in a minute and embed them in your site. Because we think that the more OSM will be used, the more OSM will be improved. It uses django-leaflet-storage and Leaflet.Storage, built on top of Django and Leaflet.
nacho is a django based web application for managing ldap accounts and groups.
it provides a simple interface for account-registration, self service (editing
profile information) and password reset as well as an interface for
administration of accounts.
South is a tool to provide consistent, easy-to-use and database-agnostic migrations for Django applications.
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