01848cam a2200301 i 4500 OSt 20250716161248.0 240720t20222022maua 001 0 eng d 9789355421906 STCPL ENG 005.133 WES-P McKinney, Wes Python for data analysis : data wrangling with pandas, NumPy, and Jupyter / by Wes McKinney 3rd ed. Sebastopol: O'REILLY, 2022. 561 p. PB 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. "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." -- Data anlysis Python (Computer program language) Programming languages (Electronic computers) Data mining Programming languages (Electronic computers) BK ddc ddc 86927 86927 0 0 ddc 0 ECO 0 STCPL STCPL ECO 2025-07-16 1800.00 0 005.133 WES-P 92920 2025-07-16 16:12:35 2025-07-16 BK 0 0 ddc 0 PHY 0 STCPL STCPL PHY 2025-11-05 1800.00 0 005.133 WES-P 93166 2025-11-05 14:41:31 2025-11-05 BK