TY  - BOOK
AU  - McKinney,Wes
TI  - Python for data analysis: data wrangling with pandas, NumPy, and IPython 
SN  - 1491957662
AV  - QA76.73.P98 M42 2018
U1  - 005.133 McK 23
PY  - 2018///
CY  - Sebastopol, California
PB  - O'Reilly Media, Inc.
KW  - Python (Computer program language)
KW  - Programming languages (Electronic computers)
KW  - Data mining
KW  - fast
KW  - Python 3.6
KW  - gnd
KW  - Datenanalyse
KW  - Datenmanagement
KW  - Data Mining
N1  - "Revision history for the Second Edition: 2017-09-25:  First Release"--Title page verso; First edition: October 2012; Includes index; Preliminaries -- Python language basics, IPython, and Jupyter notebooks -- Built-in data structures, functions, and files -- NumPy basics: arrays and vectorized computation -- Getting started with pandas -- Data loading, storage, and file formats -- Data cleaning and preparation -- Data wrangling: join, combine, and reshape -- Plotting and visualization -- Data aggregation and group operations -- Time series -- Advanced pandas -- Introduction to modeling libraies in Python -- Data analysis examples -- Advanced NumPy -- More on the IPython system
N2  - "Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process"--Page 4 of cover
ER  -