Downloads provided by UsageCounts
doi: 10.5281/zenodo.49873
The Programming Historian (http://programminghistorian.org) offers novice-friendly, peer-reviewed tutorials that help humanists learn a wide range of digital tools, techniques, and workflows to facilitate their research. This PDF version of the project is a snapshot of all published lessons as they appeared in February 2016. It contains 48 tutorials introducing topics ranging from: setting up (5 lessons) acquiring data (7 lessons) transforming data (17 lessons) analyzing data (6 lessons) presenting history (10 lessons) sustaining data (3 lessons) All content is licensed under a creative commons license. We encourage you to use, distribute, and print out lessons (or the whole book) as it suits you. Go forth and learn! Author List: Amanda Morton, Spencer Roberts, James Baker, Sarah Simpkin, Dennis Tenen, Grant Wythoff, Ian Milligan, Seth van Hooland, Ruben Verborgh, Max De Wilde, Doug Knox, Laura Turner O'Hara, Seth Bernstein, Jon Crump, Adam Crymble, Heather Froehlich, Vilja Hulden, Shawn Grahan, Scott Weingart, Fred Gibbs, Matthew Lincoln, Jim Clifford, Josh MacFadyen, Daniel Macfarlane, Marten Düring, Miriam Posner, Caleb McDaniel, Kellen Kurschinski, Jeri Wieringa, William J. Turkel.
history, programming, digital humanities
history, programming, digital humanities
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 41 | |
| downloads | 93 |

Views provided by UsageCounts
Downloads provided by UsageCounts