To learn about conferences and other DH-related events, view or subscribe to the Digital Library Federation community calendar.<\/a><\/p>\n\n\n\n DH<\/a>, sponsored by the Alliance of Digital Humanities Organizations, is the main international conference, but the Association for Computing and the Humanities (the North American DH organization) has also begun holding a bi-annual conference<\/a>. You might also look at Digital Frontiers<\/a>, HASTAC<\/a>, and the Global DH Symposium<\/a>. I have benefited from a number of local meetups and training events, even if they’re not specific to digital humanities. Some organizations to keep your eye on:<\/p>\n\n\n\n CrashSpace <\/a>is a “hackerspace” in West LA that holds a variety of events (everything from robotics to Dungeons & Dragons), often for free.<\/p>\n\n\n\n If you’re willing and able to travel for training, two DH institutes in North America have excellent reputations:<\/p>\n\n\n\n Both institutes offer scholarships.<\/p>\n\n\n\n There are two main journals of digital humanities: DHQ<\/a><\/em> and Digital\u00a0Scholarship\u00a0in\u00a0the\u00a0Humanities<\/a><\/em>. However, a number of journals specialize in particular methods, such as Cultural\u00a0Analytics<\/a><\/em> <\/a>(text analysis) and [in]Transition<\/a><\/em> (videographic film criticism).<\/p>\n\n\n\n In general, these are my favorite sources of tutorials, although this tends to be very tool-specific:<\/p>\n\n\n\n Many DH-related tasks are actually easier if you can do some simple programming. A lot of people favor Python as a first language, and it\u2019s particularly useful for manipulating documents and data. The best resource for starting out with Python (and, increasingly, other languages, too) is probably The Programming Historian<\/a>, although I also like Automate the Boring Stuff with Python<\/em><\/a>. Ruby<\/a> is also a popular choice<\/a>. People seem to like Learn Ruby the Hard Way<\/em><\/a>, although I haven\u2019t used it. R<\/a> is designed for statistical analysis and visualization, and there are several<\/a> good resources<\/a> for learning it. (I actually think R might be a little easier for beginners than Python, but this is Highly Controversial.) For data visualization on the web, the JavaScript library D3<\/a> is probably your best bet; see this book<\/a>. If your main objective is to customize WordPress, Drupal, and Omeka sites, you\u2019ll want to learn PHP<\/a>, which is the language these CMSs are written in. (You\u2019ll also need to know HTML and CSS.) P5<\/a>, based on the artistic programming language Processing, is a JavaScript library that is pretty easy and fun to learn and lets you make cool, interactive visualizations that can be a little more flexible than D3. This book<\/a> is the best intro. Conferences To learn about conferences and other DH-related events, view or subscribe to the Digital Library Federation community calendar. DH, sponsored by the Alliance of Digital Humanities Organizations, is the … <\/p>\n
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Journals<\/h3>\n\n\n\n
Tutorials<\/h3>\n\n\n\n
Getting started with programming<\/h3>\n\n\n\n
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