This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
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Project Description

Overview

birding is an open source project to produce a stream of recent twitter activity based on a sequence of search terms, using only twitter’s public APIs. It serves as both a standalone project and a demo of distributed real-time computing with Python using Storm/streamparse and Kafka/pykafka.

Dependencies are fully automated; in a birding checkout, run with:

make run

See the docs (below) for a full discussion of birding, including how to use birding in an existing streamparse project.

To discuss this project, join the streamparse user group.

Documentation

Interaction

Given a checkout of birding, to run birding in place, see Downloading and running birding.

Python Support

The birding project uses Python 2.7 and will also support Python 3.4+ when underlying dependencies support Python 3.

Release History

Release History

0.2.1

This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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0.1

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
birding-0.2.1.tar.bz2 (11.9 kB) Copy SHA256 Checksum SHA256 Source Dec 1, 2015
birding-0.2.1.zip (19.2 kB) Copy SHA256 Checksum SHA256 Source Dec 1, 2015

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