Unidad de Bibliotecas

Python for data analysis : data wrangling with Pandas, NumPy, and Jupyter /

McKinney, Wes,

Python for data analysis : data wrangling with Pandas, NumPy, and Jupyter / Wes McKinney. - Third edition. - Sebastopol, CA : O'Reilly Media, 2022 - xvi, 561 pages : illustrations.

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.

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.

9781098104030


Data mining.
Python (Computer program language)

QA76.73.P98

006.312