This Library Carpentry lesson introduces librarians and others to working with data. At the conclusion of the lesson you will: define terms, phrases, and concepts in software development and data science; identify and use best practices in data structures; use regular expressions in searches.
Prerequisites
This lesson has no prerequisites. Ideally you will need a laptop and an internet connection, though this is not required.
| Setup | Download files required for the lesson | |
| 00:00 | 1. Introduction to Library Carpentry | What do librarians gain from code? |
| 00:15 | 2. 전문용어해설(Jargon Busting) | 코딩 혹은 소프트웨어 개발관련하여 생각나는 용어, 문구, 아이디어는 무엇이고 더 잘 알면 좋을까요? |
| 01:00 | 3. 밑바탕 토대 | 도서관과 관련된 프로그램을 성공적으로 생성하고 사용하는데 필요한 일반적인 기술과 좋은 관례는 어떤 것이 있을까요? |
| 01:45 | 4. 정규 표현식 | 본인 작업에 정규 표현식을 사용한다는 사실이 상상이 가는가? |
| 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? |
| 03:00 | Finish |
The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.