TY  - BOOK
AU  - McKinney,Wes
TI  - Python for data analysis: data wrangling with Pandas, NumPy, and Jupyter 
SN  - 9781098104030
AV  - QA76.73.P98 
U1  - 006.312 
PY  - 2022///
CY  - Sebastopol, CA
PB  - O'Reilly Media
KW  - Data mining
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 Cleaning and Preparation -- Data Wrangling: Join, Combine, and Reshape -- Plotting and Visualization -- Data Aggregation and Group Operations -- Time Series -- Introduction to Modeling Libraries in Python -- Data Analysis Examples
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  -