(CLT) Python Series

REGISTER HERE (@hawaii.edu required) Presenter: Dr. Richard Medina, Associate Faculty Specialist in Human-Computer Interaction, UH Mānoa, Center for Language & Technology This series of three workshops introduces and demonstrates techniques for working with language data in Python scripts. Topics include basic structures such as variables, lists, and accessing data files. The series ends with an introduction to the Natural Language Toolkit (NLTK) and its usage in Python scripts. The goal of this series is to provide participants with an initial foundation into these topics for use in their own scholarly or academic work. Participation does not require prior experience with computer programming. ...

REGISTER HERE (@hawaii.edu required) Presenter: Dr. Richard Medina, Associate Faculty Specialist in Human-Computer Interaction, UH Mānoa, Center for Language & Technology This series of three workshops introduces and demonstrates techniques for working with language data in Python scripts. Topics include basic structures such as variables, lists, and accessing data files. The series ends with an introduction to the Natural Language Toolkit (NLTK) and its usage in Python scripts. The goal of this series is to provide participants with an initial foundation into these topics for use in their own scholarly or academic work. Participation does not require prior experience with computer programming. ...

REGISTER HERE (@hawaii.edu required) Presenter: Dr. Richard Medina, Associate Faculty Specialist in Human-Computer Interaction, UH Mānoa, Center for Language & Technology This series of three workshops introduces and demonstrates techniques for working with language data in Python scripts. Topics include basic structures such as variables, lists, and accessing data files. The series ends with an introduction to the Natural Language Toolkit (NLTK) and its usage in Python scripts. The goal of this series is to provide participants with an initial foundation into these topics for use in their own scholarly or academic work. Participation does not require prior experience with computer programming. ...