이 과정은 학생들에게 SQL(Structured Query Language)의 기초와 다단계 데이터 수집, 분석 및 처리 노력의 일환으로 데이터를 저장하기 위한 기본 데이터베이스 설계를 소개합니다. 본 과정은 SQLite3를 데이터베이스로 사용합니다. 또한 웹 크롤러와 다단계 데이터 수집 및 시각화 프로세스를 구축합니다. D3.js 라이브러리를 사용하여 기본 데이터 시각화를 수행합니다. 본 과정은 ‘Python for Everybody’의 14-15장을 다룹니다. 이 과정을 성공적으로 마치려면 교과서의 1-13장과 이 전문 과정의 처음 세 과정에서 다루는 내용을 숙지해야 합니다. 본 과정은 Python 3를 다룹니다.
Python에서 데이터베이스 사용하기
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What you'll learn
생성, 읽기, 업데이트 및 삭제 작업을 사용하여 데이터베이스 관리
객체 지향 Python의 기초 설명
데이터베이스의 여러 테이블에 데이터가 저장되는 방식 이해
Google Maps API를 활용한 데이터 시각화
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Assessments
5 assignments
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There are 5 modules in this course
이 강의를 시작하기 위해 객체 지향 Python의 기본 사항을 다룹니다. 직접 객체를 작성하지 않을 것이나 BeautifulSoup, 문자열, 딕셔너리, 데이터베이스 연결과 같이 사용하는 많은 것들이 모두 객체 지향(OO) 패턴을 사용하므로 그 패턴과 용어의 일부 정도는 이해해야 합니다.
What's included
12 videos5 readings2 assignments
데이터베이스에 저장된 데이터를 관리하기 위한 4가지 핵심 CRUD 작업(Create, Read, Update, Delete)을 배웁니다.
What's included
7 videos1 assignment2 app items
이 섹션에서는 데이터베이스의 여러 테이블에 데이터가 저장되는 방식과 데이터베이스에서 행이 연결되는 방식(즉, 관계를 설정하는 방식)에 대해 배웁니다.
What's included
8 videos1 assignment1 app item
이 섹션에서는 각 과정에 많은 학생이 있고 각 학생은 많은 과정에 등록되어 있을 때 학생들을 과정에 등록시키는 것과 같은 상황을 모델링하는 방법에 대해 탐구합니다.
What's included
5 videos1 assignment1 app item
이 섹션에서는 이를 모두 통합하고 일부 데이터를 검색 및 처리한 다음 Google Maps API를 사용하여 데이터를 시각화합니다.
What's included
6 videos4 readings1 app item
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