Normal view MARC view ISBD view

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

By:

McKinney, Wes [author]

Material type: Text

text

Media type:

computer

Carrier type:

online resource

Subject(s):

Genre/Form:

Electronic books

Additional physical formats: Print version:: Python for data analysis.DDC classification:

006.312

Online resources:

Safari Books Online Connect to resource

Summary: 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

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Call number	Status	Notes	Date due	Barcode	Item holds
Books	Junaid Zaidi Library, COMSATS University Islamabad Ground Floor	Books	006.312 MCK-P 63300 (Browse shelf(Opens below))	Checked out	Paperback.	01/20/2025	10001000063300

Total holds: 0

Browsing Junaid Zaidi Library, COMSATS University Islamabad shelves, Shelving location: Ground Floor, Collection: Books Close shelf browser (Hides shelf browser)

Previous				No cover image available		No cover image available		Next
Previous	006.31 PRO-A 63262 Applied machine learning and AI for engineers : solve business problems that can't be solved algorithmically /	006.312 CRI-D 62551 Data Engineering with Python Work with Massive Datasets to Design Data Models and Automate Data Pipelines Using Python	006.312 GRA-D Developing analytic talent : becoming a data scientist /	006.312 MCK-P 63300 Python for data analysis : data wrangling with Pandas, NumPy, and Jupyter /	006.312 VAN-P 63299 Python data science handbook : essential tools for working with data /	006.312 WIC-R 63301 R for data science : import, tidy, transform, visualize, and model data /	006.312 WIM-G 63288 Geographic data science with R : visualizing and analyzing environmental change /	Next

Includes bibliographical references and index

Available to OhioLINK libraries

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

There are no comments on this title.

to post a comment.