data wrangling with Pandas, NumPy, and Jupyter McKinney, Wes creator author. text bibliography cau Sebastopol, CA O'Reilly Media 2022 Third edition. monographic eng xvi, 561 pages : illustrations. Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, 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. 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 -- Introduction to Modeling Libraries in Python -- Data Analysis Examples. specialized Wes McKinney. Data mining Python (Computer program language) QA76.73.P98 006.312 9781098104030 OCoLC-P 260324 20260324111459.0 eng