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Guide to Programming for the Digital...
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Guide to Programming for the Digital Humanities = Lessons for Introductory Python /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Guide to Programming for the Digital Humanities/ by Brian Kokensparger.
Reminder of title:
Lessons for Introductory Python /
Author:
Kokensparger, Brian.
Description:
VIII, 93 p. 22 illus., 15 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Computer programming. -
Online resource:
https://doi.org/10.1007/978-3-319-99115-3
ISBN:
9783319991153
Guide to Programming for the Digital Humanities = Lessons for Introductory Python /
Kokensparger, Brian.
Guide to Programming for the Digital Humanities
Lessons for Introductory Python /[electronic resource] :by Brian Kokensparger. - 1st ed. 2018. - VIII, 93 p. 22 illus., 15 illus. in color.online resource. - SpringerBriefs in Computer Science,2191-5768. - SpringerBriefs in Computer Science,.
Chapter 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.
As 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.
ISBN: 9783319991153
Standard No.: 10.1007/978-3-319-99115-3doiSubjects--Topical Terms:
527822
Computer programming.
LC Class. No.: QA76.6-76.66
Dewey Class. No.: 005.11
Guide to Programming for the Digital Humanities = Lessons for Introductory Python /
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Chapter 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.
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As 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.
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