This Library Carpentry lesson introduces archivists to working with data. At the conclusion of the lesson you will: be able to explain terms, phrases, and concepts in code or software development; 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||There are no setup requirements for this lesson|
|00:00||1. Introduction to Library Carpentry||What do archivists gain from code?|
|00:15||2. Don't think you work with data?||
What sort of data do you work with?
What do you do with it?
What tools do you use to help you?
|01:15||3. Foundations||what best practice and generic skills underpin your encounters with data and research?|
|02:00||4. Regular Expressions||How can you imagine using regular expressions in your work?|
|02:45||5. Introduction to Data - Multiple Choice Quiz||What does Fr[ea]nc[eh] match?|
|03:15||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.