TY  - BOOK
AU  - McKinney,Wes
TI  - Python for data analysis: data wrangling with pandas, NumPy, and Jupyter 
SN  - 9781098104030
AV  - QA76.73.P98 M42 2022
U1  - 006.312 23
PY  - 2022///]
CY  - Beijing
PB  - O'Reilly
KW  - Python (Computer program language)
KW  - Programming languages (Electronic computers)
KW  - Data mining
KW  - Exploration de données (Informatique)
KW  - Python (Langage de programmation)
KW  - fast
N1  - Previous edition: 2017; Includes index; Includes bibliographical references and 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 cleaing and preparation -- Data wrangling: join, combine, reshape -- Plotting and visualization -- Data aggregation and group operations -- Time series -- Introduction to modeling libraries in Python -- Data analysis examples -- Advanced NumPy -- More on the IPython system
N2  - "Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.9 and pandas 1.2, the third 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, and Jupyter in the process. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing." --
ER  -