data wrangling with pandas, NumPy, and Jupyter McKinney, Wes creator text mau Sebastopol O'REILLY 2022 2022 3rd ed. monographic eng ENG

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561 p. PB "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." -- 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. by Wes McKinney Data anlysis Python (Computer program language) Programming languages (Electronic computers) Data mining Programming languages (Electronic computers) 005.133 WES-P 9789355421906 240720 20250716161248.0