This Library Carpentry lesson introduces librarians to working with data. At the conclusion of the lesson you will: understand terms, phrases, and concepts in software development and data science; identify and use best practice in data structures; use regular expressions in searches.
This lesson has no prerequisites. Ideally you will need a laptop and an internet connection, though this is not required.
There are three main ways to contribute to Library Carpentry:
|Setup||This lesson does not require any special setup|
|00:00||1. Introduction to Library Carpentry||What do librarians gain from code?|
|00:15||2. Jargon Busting||What terms, phrases, or ideas around code or software development have you come across and perhaps feel you should know better?|
|01:00||3. Foundations||What best practice and generic skills underpin you encounters with software skills?|
|01:45||4. Regular Expressions||How can you imagine using regular expressions in your work?|
|02:30||5. Introduction to Data - Multiple Choice Quiz||What does Fr[ea]nc[eh] match?|
|03:00||6. Introduction to Data - Multiple Choice Quiz (answers)"||What does Fr[ea]nc[eh] match?|
The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.