02415cam a22004095i 4500 28260 28231 20565478 EG-ScBUE 20200308101852.0 180702t20182018caua f 001 0 eng d 1491957662 9781491957660 (OCoLC)ocn959595088 YDX eng rda YDX BDX OCLCQ BTCTA INO IUL OCLCF OCL CHVBK OCLCO EYM JRZ GL4 JRZ LOY UIU DLC EG-ScBUE 005.133 MCK 22 McKinney, Wes, author. 39106 Python for data analysis : data wrangling with pandas, NumPy, and IPython / Wes McKinney. Data wrangling with pandas, NumPy, and IPython Second edition. Sebastopol, California : O'Reilly Media, Inc., [2018] c2018 xvi, 528 pages : illustrations ; 24 cm text txt rdacontent still image sti rdacontent unmediated n rdamedia volume nc rdacarrier "Revision history for the Second Edition: 2017-09-25: First Release"--Title page verso. First edition: October 2012. Includes 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 cleaning and preparation -- Data wrangling: join, combine, and reshape -- Plotting and visualization -- Data aggregation and group operations -- Time series -- Advanced pandas -- Introduction to modeling libraies in Python -- Data analysis examples -- Advanced NumPy -- More on the IPython system. "Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second 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, IPython, and Jupyter in the process"--Page 4 of cover. Python (Computer program language) BUEsh Programming languages (Electronic computers) BUEsh Data mining. BUEsh COMSCI March2020 Reading book 34232 ddc BB 0 0 ddc 0 0 Baccah MAIN MAIN LOW 2020-03-08 Purchase 1 005.133 MCK 000048915 2025-07-15 00:00:00 2024-11-05 2020-03-08 BB