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Tom Johnson

Apache Lucene - Apache Solr - 0 views

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    Apache Solr SolrTM is the popular, blazing fast open source enterprise search platform from the Apache LuceneTM project. Its major features include powerful full-text search, hit highlighting, faceted search, near real-time indexing, dynamic clustering, database integration, rich document (e.g., Word, PDF) handling, and geospatial search. Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites. Solr is written in Java and runs as a standalone full-text search server within a servlet container such as Tomcat. Solr uses the Lucene Java search library at its core for full-text indexing and search, and has REST-like HTTP/XML and JSON APIs that make it easy to use from virtually any programming language. Solr's powerful external configuration allows it to be tailored to almost any type of application without Java coding, and it has an extensive plugin architecture when more advanced customization is required. See the complete feature list for more details. For more information about Solr, please see the Solr wiki.
Tom Johnson

Haystack - Search for Django - 0 views

  • Search doesn't have to be hard. Haystack lets you write your search code once and choose the search engine you want it to run on. With a familiar API that should make any Djangonaut feel right at home and an architecture that allows you to swap things in and out as you need to, it's how search ought to be. Haystack is BSD licensed, plays nicely with third-party apps without needing to modify the source and supports Solr, Elasticsearch, Whoosh and Xapian. Get started Install the package: Latest stable (1.2.7) off PyPI: pip install django-haystack Latest dev (2.0.0-beta) off GitHub: pip install -e git+https://github.com/toastdriven/django-haystack.git@master#egg=django-haystack Add haystack to your INSTALLED_APPS. Create search_indexes.py files for your models. Setup the main SearchIndex via autodiscover. Include haystack.urls to your URLconf. Search!
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    Search doesn't have to be hard. Haystack lets you write your search code once and choose the search engine you want it to run on. With a familiar API that should make any Djangonaut feel right at home and an architecture that allows you to swap things in and out as you need to, it's how search ought to be. Haystack is BSD licensed, plays nicely with third-party apps without needing to modify the source and supports Solr, Elasticsearch, Whoosh and Xapian. Get started Install the package: Latest stable (1.2.7) off PyPI: pip install django-haystack Latest dev (2.0.0-beta) off GitHub: pip install -e git+https://github.com/toastdriven/django-haystack.git@master#egg=django-haystack Add haystack to your INSTALLED_APPS. Create search_indexes.py files for your models. Setup the main SearchIndex via autodiscover. Include haystack.urls to your URLconf. Search!
Tom Johnson

Me TV: Programming Content for an Audience of One - Streaming Media Magazine - 0 views

  • GA_googleFillSlot("StreamingMedia-Banners"); GA_googleCreateDomIframe("google_ads_div_StreamingMedia-Banners_ad_container" ,"StreamingMedia-Banners");   var nav = window.Event ? true : false; if (nav) { window.captureEvents(Event.KEYDOWN); window.onkeydown = NetscapeEventHandler_KeyDown; } else { document.onkeydown = MicrosoftEventHandler_KeyDown; } function NetscapeEventHandler_KeyDown(e) { if (e.which == 13 && e.target.type != 'textarea' && e.target.type != 'submit') { if (e.target.name == 'txtNewQuery') { document.location.href = '/Search/Default.aspx?i=' + escape(e.target.value); } return false; } return true; } function MicrosoftEventHandler_KeyDown() { if (event.keyCode == 13 && event.srcElement.type != 'textarea' && event.srcElement.type != 'submit') { if (event.srcElement.name == 'txtNewQuery') { document.location.href = '/Search/Default.aspx?i=' + escape(event.srcElement.value); } return false; } return true; }   GA_googleFillSlot("StreamingMedia-300x100-Marketing"); GA_googleCreateDomIframe("google_ads_div_StreamingMedia-300x100-Marketing_ad_container" ,"StreamingMedia-300x100-Marketing"); Upcoming Industry Conferences Streaming Media West 2013 [19-20 November 2013] valig
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    Streaming Media on Facebook Streaming Media on Twitter Streaming Media on LinkedIn Streaming Media on Google+ Streaming Media on YouTube Upcoming Industry Conferences Streaming Media West 2013 [19-20 November 2013] New!Streaming Media Producer Live [19-20 November 2013] Recent Conferences Streaming Forum 2013 (London) [18-19 June 2013] Content Delivery Summit 2013 [20 May 2013] Streaming Media East 2013 [21-22 May 2013] Past Conferences Popular Articles News Forums Top 10 Most Popular Articles Wowza Acquires Camfoo Me TV: Programming Content for an Audience of One How Windows Azure Sees the Future of MPEG-DASH Adoption Encoding Video for iOS Devices? Watch This First How the BBC Guaranteed Live Streaming Resilience for the Olympics Vimeo Revamps iOS 7 App, Adds Instant Playback, Offline Viewing Train Commuters Rejoice: YouTube Adding Offline Viewing to Apps Boeing Demonstrates the Cost Benefits of Enterprise Webcasting BrandAds Unveils Unified Video Ad Analytics Solution AOL Climbs to Second Spot in August comScore Video Rankings Streaming Media Magazine August/September 2013 Subscribe Current Issue Past Issues Behind the Scenes With Windows Azure Media Services: Case Study Attention Colleges and Universities: Kill the Lecture! Into the Cloud: Exploring the Next Generation of Video Services Online Video Jumps on the Big Data Bandwagon No Second Chances, Part 2: Best Practices for Live Events Current Digital Edition Cover Me TV: Programming Content for an Audience of One The next evolution of television will be personal television, delivering individual streams optimized for the viewer, device, time of day, and location. Learn what to expect from Me TV. By Albert Lai Posted on September 24, 2013
Tom Johnson

DJ Playlister - 0 views

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    Welcome to the World of DJ Playlister, the Business End of your Music. DJ Playlister, the Standard version of DJ Printer, is a XML, M3U and Text file Parser / Database and Reporting Tool. DJ Playlister was designed to make it easy to generate playlists for program directors at radio stations and to give clients PDF catalogs of the music I have available. You will find that DJ Playlister is basically a any other Song File to PCDJ Waitlist Converter and a Any Song File Reporting Utility. Honestly, PCDJ XML is more versatile than the M3U or XML format used by Virtual DJ and PCDJ-VJ products. This application will add DRS 2006 Radio Automation Software data files in the v2.2.x DJ Playlister is the easiest way to catalog your XML, M3U and Text files created by Virtual DJ, PCDJ VRM and PCDJ-VJ. Most Digital Jocks have at least 10,000 songs on their hard drives and trying to remember 10,000+ songs can be a challenge. DJ Playlister can help you manage your library of MP3 Song Files and the XML and M3U Song files created by the Top Professional DJ Software. Now when someone asks me what Blues or Country that I have, I can generate a PDF, HTML, Text or Hard Copy report and give it to them. Complete with my Company name on the top and Telephone / Address info on the bottom. You will have the ability to do that with DJ Playlister. DJ Playlister can Import: · PCDJ VRM XML Playlist files · Virtual DJ / PCDJ-VJ XML Song Database files · Virtual DJ / PCDJ-VJ M3U History, Tracklist and Log Files · Promo Only Song Database · ERG Music Song Database DJ Playlister can Export: · PCDJ VRM XML Waitlist Files · KNBA 90.3 FM Text Playlist Format · HTML Reports with Page Navigation · PDF Reports · Export to MySQL (Version 2.2.X Only) DJ Playlister has what we call a Global Playlist. This 'Global Playlist' is where you can accumulate songs that you find as you search through the DJ Playlister databases. You can browse the Virtual DJ / PCD
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