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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]] <<DateTime(2013-10-24T10:21:44+0900)>>


1380708410

Python for DataAnalysis

관련자료

챕터별 중요내용

  1. Preliminaries
  2. Introductory Examples

  3. IPython: An Interactive Computing and Development Environment

  4. NumPy Basic: Arrays and Vectorized Computation

  5. Getting Started with pandas

  6. Data Loading, Storage, and File Formats
  7. Data Wrangling: Clean, Transform, Merge, Reshape
  8. Plotting and Visualization
  9. Data Aggregation and Group Operations
  10. Time Series
  11. Financial and Economic Data Applications

  12. Advanced NumPy

Ch02 예제들 매우 훌륭함. 데이터 분석 잘하려면 자꾸 연습해야만 하겠구만. 일반 프로그래밍과는 또 다른 분야임. -- yong27 2013-10-24 10:21:44

CategoryBookComputer

PythonForDataAnalysis (last edited 2013-10-24 10:22:02 by 61)

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