TY  - BOOK
AU  - McKinney,Wes 
TI  - Python for Data Analysis: Data Wrangling with Pandas, NumPy, and Jupyter
SN  - 978-9355421906 (PB)
U1  - 005.133 
PY  - 2022///
CY  -  Beijing
PB  - O'Reilly
KW  -  Data mining Exploration de données (Informatique)
KW  - Programming languages (Electronic computers)
KW  - Python (Computer program language)
N1  - 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 3.10 and pandas 1.4, 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
ER  -