Python for data analysis : data wrangling with Pandas, NumPy, and Jupyter / by Wes McKinney.
Material type:
TextPublication details: New Delhi : Shroff Publishers, c2022 [2023]Edition: 3rd edDescription: xvi, 561 p. : ill. ; 23 cmISBN: 9789355421906Subject(s): Programming Language | Python | Data mining | CSE | Computer science and engineeringDDC classification: 005.133 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.
| Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
BOOK
|
ULAB Library | 005.133 MCP (Browse shelf (Opens below)) | 1 | Yes | 21524 | ||
|
BOOK
|
ULAB Library | 005.133 MCP (Browse shelf (Opens below)) | 2 | Yes | 21525 |
Includes Index.
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.
CSE
424018
There are no comments on this title.