Python For Data Analysis

Wes McKinney

ISBN 10: 1449319793 / ISBN 13: 9781449319793

Editore: OReilly, 2014

Riguardo questo articolo

ISBN 9781449319793. Trade Paperback. Later printing of revised edition of 2013. Very slight wear to corners and edges; very slight dustsoiling to edges; otherwise tight, sound and unmarked in Very Good to Near Fine condition.

Codice articolo 4221161

Dati bibliografici

• Titolo: Python For Data Analysis
• Editore: OReilly
• Data di pubblicazione: 2014
• ISBN 10: 1449319793
• ISBN 13: 9781449319793
• Rilegatura: Paperback
• Edizione: Later Edition.
• Condizione: Very Good
• Condizione della sovraccoperta: No Dustjacket
• Firmato: No Signature
• Cataloghi dei venditori:
  • Computers

Descrizione articolo

Riassunto

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.

• Use the IPython interactive shell as your primary development environment
• Learn basic and advanced NumPy (Numerical Python) features
• Get started with data analysis tools in the pandas library
• Use high-performance tools to load, clean, transform, merge, and reshape data
• Create scatter plots and static or interactive visualizations with matplotlib
• Apply the pandas groupby facility to slice, dice, and summarize datasets
• Measure data by points in time, whether it’s specific instances, fixed periods, or intervals
• Learn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples

Informazioni sull?autore

Wes McKinney is the main author of pandas, the popular open sourcePython library for data analysis. Wes is an active speaker andparticipant in the Python and open source communities. He worked as aquantitative analyst at AQR Capital Management and Python consultantbefore founding DataPad, a data analytics company, in 2013. Hegraduated from MIT with an S.B. in Mathematics.