Python for Data Analysis Data Wrangling with Pandas, NumPy, and Jupyter Wes McKinney
Material type:
TextLanguage: English Publication details: Beijing O'Reilly 2022Edition: 3Description: xvi, 561 pISBN: - 978-9355421906 (PB)
- 005.133 MCK
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Reference
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IIITDM Kurnool COMPUTER SCIENCE ENGINEERING | Reference | 005.133 MCK (Browse shelf(Opens below)) | Not For Loan | 0005759 |
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 cleaing and preparation
Data wrangling: join, combine, reshape
Plotting and visualization
Data aggregation and group operations
Time series
Introduction to modeling libraries in Python
Data analysis examples
Advanced NumPy
More on the IPython system
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
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