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Guide to programming for the digital...
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Kokensparger, Brian.
Guide to programming for the digital humanitieslessons for introductory Python /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Guide to programming for the digital humanitiesby Brian Kokensparger.
Reminder of title:
lessons for introductory Python /
Author:
Kokensparger, Brian.
Published:
Cham :Springer International Publishing :2018.
Description:
viii, 93 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Digital humanities.
Online resource:
http://dx.doi.org/10.1007/978-3-319-99115-3
ISBN:
9783319991153$q(electronic bk.)
Guide to programming for the digital humanitieslessons for introductory Python /
Kokensparger, Brian.
Guide to programming for the digital humanities
lessons for introductory Python /[electronic resource] :by Brian Kokensparger. - Cham :Springer International Publishing :2018. - viii, 93 p. :ill., digital ;24 cm. - 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$q(electronic bk.)
Standard No.: 10.1007/978-3-319-99115-3doiSubjects--Topical Terms:
761304
Digital humanities.
LC Class. No.: AZ105
Dewey Class. No.: 025.060013
Guide to programming for the digital humanitieslessons 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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