||<>|| [[Python]] for DataAnalysis 관련자료 * 책 예제 코드: https://github.com/pydata/pydata-book 챕터별 중요내용 1. Preliminaries 1. Introductory Examples 1. [[IPython]]: An Interactive Computing and Development Environment 1. NumPy Basic: Arrays and Vectorized Computation 1. Getting Started with [[pandas]] 1. Data Loading, Storage, and File Formats 1. Data Wrangling: Clean, Transform, Merge, Reshape 1. Plotting and Visualization 1. Data Aggregation and Group Operations 1. Time Series 1. Financial and Economic Data Applications 1. Advanced NumPy ---- Ch02 예제들 매우 훌륭함. 데이터 분석 잘하려면 자꾸 연습해야만 하겠구만. 일반 프로그래밍과는 또 다른 분야임. -- [[yong27]] <> ---- CategoryBookComputer