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 |
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BOOK | ULAB Library | 005.133 MCP (Browse shelf (Opens below)) | 1 | Checked out to Tazrian Shainam Shahid, Senior Lecturer, USB (401098) | 03/09/2024 | 21524 | |
BOOK | ULAB Library | 005.133 MCP (Browse shelf (Opens below)) | 2 | Yes | 21525 |
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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
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