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McKinney, Wes

Python for data analysis: data wrangling with pandas, numpy & jupyter / Wes McKinney - 3rd Ed. - Mumbai: Shroff publishers & distributors pvt.ltd. (O'Reilly) 2022 - xvi, 561 p.

1. Preliminaries;
2. Python language basics, IPython, and Jupyter notebooks;
3. Built-in data structures, functions, and files;
4. NumPy basics: arrays and vectorized computation;
5. Getting started with pandas;
6. Data loading, storage, and file formats;
7. Data cleaning and preparation;
8. Data wrangling: join, combine, and reshape;
9. Plotting and visualization;
10. Data aggregation and group operations;
11. Time series;
12. Advanced pandas;
13. Introduction to modeling libraies in Python;
14. Data analysis examples;
15. Advanced NumPy;
16. More on the IPython system

"Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. You'll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process".

ISBN: 9789355421906

Subjects--Topical Terms:
Computer science: Python

LC Class. No.: QA76.73.P98