02556nam\a2200409\a\4500 57804 BD-DhIUB 20260517151517.0 t| 260517t20222022maua 001 0 eng d 9781098104030 paperback 109810403X paperback UKMGB eng rda UKMGB OCLCF IMD JOZ SISPL QGE UKMGB LML VNVGU OCL TRC OCLCO DLC DLC-MRC BD-DhIUB 006.312 23 M1583p McKinney, Wes author aut http://id.loc.gov/vocabulary/relators/aut Python for data analysis : data wrangling with pandas, NumPy, and Jupyter / Wes McKinney. Third edition. New Delhi: Shroff Publishers and Distributors Pvt.Ltd., 2022 xvi, 561 pages illustrations 24 cm 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. "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." -- Provided by publisher CSE ps REF Omni concept Python (Computer program language) Programming languages (Electronic computers) Data mining Exploration de données (Informatique) Python (Langage de programmation) Programming languages (Electronic computers) fast Data mining fast Python (Computer program language) fast ddc BK 57804 57978 0 0 ddc 0 1 IUBL IUBL REF 2026-05-07 PURCHASE 2449.00 2022 0 006.312 M1583p 029692 2026-05-17 15:17:41 01 4898.00 2026-05-07 BK 0 0 ddc 0 1 IUBL IUBL REF 2026-05-07 PURCHASE 2449.00 2022 0 006.312 M1583p 029693 2026-06-14 14:07:29 02 4898.00 2026-05-07 BK