data wrangling with pandas, NumPy, and Jupyter McKinney, Wes creator author aut http://id.loc.gov/vocabulary/relators/aut text mau New Delhi Shroff Publishers and Distributors Pvt.Ltd. 2022 2022 Third edition. monographic eng

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xvi, 561 pages illustrations 24 cm "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 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. Wes McKinney. Previous edition: 2017. Includes index. Includes bibliographical references and index. 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) Data mining Python (Computer program language) 006.312 M1583p 9781098104030 109810403X UKMGB 260517 20260517151517.0 57804 eng