McKinney, Wes
Python for data analysis data wrangling with pandas, NumPy, and IPython Data wrangling with pandas, NumPy, and IPython Wes McKinney - Second edition. - Sebastopol, California O'Reilly Media, Inc., 2018. - xvi, 524 pages illustrations ; 24 cm Paperbound book.
"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.
1491957662 9781491957660
Python (Computer program language)
Programming languages (Electronic computers)
Data mining.
QA76.73.P98 / M42 2018
005.133 McK 6
Python for data analysis data wrangling with pandas, NumPy, and IPython Data wrangling with pandas, NumPy, and IPython Wes McKinney - Second edition. - Sebastopol, California O'Reilly Media, Inc., 2018. - xvi, 524 pages illustrations ; 24 cm Paperbound book.
"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.
1491957662 9781491957660
Python (Computer program language)
Programming languages (Electronic computers)
Data mining.
QA76.73.P98 / M42 2018
005.133 McK 6