Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you’ll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.
Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It’s ideal for analysts new to Python and for Python programmers new to scientific computing.
리얼타임 eBook 안내
PDF 형식으로 제공되며, 다운로드한 eBook은 PDF 포맷을 지원하는 디바이스 또는 프로그램에서 제한없이 열람할 수 있습니다. 또한 eBook 내의 텍스트 검색 및 인쇄도 가능합니다.