RSS aggregator written in python, using django. Feeds and feed items can be annotated with tags and other information from services such as twitter & delicious. Allow communities such as teachers to get focused, useful information from the interweb.
PyMorseRSS is a project using Python to generate Morse code practice files and making them available via RSS. The Morse code practice files are generated according to the Koch method using Farnsworth timing and both MP3 and OGG outputs are supported.
Personal web server which allows to take notes and read them locally or remotely with a browser or a rss-feed client.
Each note can be classified into user defined categories and appears in a given date following an advanced time validity sintax.
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LeanData is a Demand Management solution that supports all go-to-market strategies such as account-based sales development, geo-based territories, and more. LeanData features a visual, intuitive workflow native to Salesforce that enables users to view their entire lead flow in one interface. LeanData allows users to access the drag-and-drop feature to route their leads. LeanData also features an algorithms match that uses multiple fields in Salesforce.
A command-line python-based RSS 2.0 enclosure retriever. Designed with Podcasting in mind, podpooper.py can retrieve the latest enclosures from an RSS 2.0 feed. Supports mass RSS feed subscriptions via OPML feeds and PLS playlists.
A podcast aggregator written in Python using GTK. Users can subscibe to podcasts and download the latest episodes to their hard drive (iPod support is planned).
Gprss is an offline rss reader for GP2X. It uses Python, Pygame, and the feedparser module. It consists of two programs: Getrss for downloading, parsing and serializing feeds and Gprss, the GP2X program for offline reading.
iTorrent allows you to download BitTorrent podcasts from iTunes. It transforms BitTorrent podcasts so that you can update them just like any other podcast in iTunes.
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Cloud Run is a fully-managed compute platform that lets you run your code in a container directly on top of scalable infrastructure.
Run frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.