LEADER 04194nam 22006015 450 001 9910299356403321 005 20231019162703.0 010 $a3-319-99115-9 024 7 $a10.1007/978-3-319-99115-3 035 $a(CKB)4100000005958266 035 $a(MiAaPQ)EBC5497905 035 $a(DE-He213)978-3-319-99115-3 035 $a(PPN)229917542 035 $a(EXLCZ)994100000005958266 100 $a20180823d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGuide to Programming for the Digital Humanities $eLessons for Introductory Python /$fby Brian Kokensparger 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (98 pages) 225 1 $aSpringerBriefs in Computer Science,$x2191-5768 311 $a3-319-99114-0 327 $aChapter 1. Introduction -- Chapter 2. Introductory Programming ? Common Topics -- Chapter 3. Digital Humanities ? Special Considerations for the Programmer -- Chapter 4. Introduction to the Digital Humanities Assignments -- Chapter 5. Change Over Time: Burials in an Historic Cemetery -- Chapter 6. Visualizing Change Over Time: Simple Visualization of the Burials in an Historic Cemetery -- Chapter 7. Textual Analysis: Frequencies and Stop Words in Dirty Text -- Chapter 8. Code Transformation: From XML to Stylized HTML -- Chapter 9. Art Stylometry: Recognizing Regional Differences in Great Works of Art -- Chapter 10. Social Network Analysis: Historic Circles of Friends and Acquaintances -- Chapter 11. Conclusion. 330 $aAs an introduction to programming for the Digital Humanities (DH), this book presents six key assignments oriented on DH topics. The topics include Computing Change Over Time (calculating burials at a historic cemetery), Visualizing Change Over Time (visualizing the burials at the historic cemetery), Textual Analysis (finding word frequencies and ?stop words? in public domain texts), XML Transformation (transforming a simplified version of XML into HTML styled with CSS), Stylometry (comparing the measured features of graphic images), and Social Network Analysis (analyzing extended relationships in historic circles). The book focuses on the practical application of these assignments in the classroom, providing a range of variations for each assignment, which can be selected on the basis of students? specific programming background and skills; ?atomic? assignments, which can be used to give students the experience they need to successfully complete the main assignments; and some common pitfalls and gotchas to manage in the classroom. The book?s chief goals are to introduce novice computer science (CS) students to programming for DH, and to offer them valuable hands-on experience with core programming concepts. 410 0$aSpringerBriefs in Computer Science,$x2191-5768 606 $aComputer programming 606 $aHumanities?Digital libraries 606 $aPython (Computer program language) 606 $aMathematics 606 $aVisualization 606 $aProgramming Techniques$3https://scigraph.springernature.com/ontologies/product-market-codes/I14010 606 $aDigital Humanities$3https://scigraph.springernature.com/ontologies/product-market-codes/836000 606 $aPython$3https://scigraph.springernature.com/ontologies/product-market-codes/I29080 606 $aVisualization$3https://scigraph.springernature.com/ontologies/product-market-codes/M14034 615 0$aComputer programming. 615 0$aHumanities?Digital libraries. 615 0$aPython (Computer program language) 615 0$aMathematics. 615 0$aVisualization. 615 14$aProgramming Techniques. 615 24$aDigital Humanities. 615 24$aPython. 615 24$aVisualization. 676 $a001.30285 700 $aKokensparger$b Brian$4aut$4http://id.loc.gov/vocabulary/relators/aut$0933168 906 $aBOOK 912 $a9910299356403321 996 $aGuide to Programming for the Digital Humanities$92100362 997 $aUNINA