Python for data analysis: data wrangling with pandas, numpy & jupyter / Wes McKinney

By: McKinney, WesMaterial type: TextTextPublication details: Mumbai: Shroff publishers & distributors pvt.ltd. (O'Reilly) 2022Edition: 3rd EdDescription: xvi, 561 pISBN: 9789355421906Subject(s): Computer science: PythonLOC classification: QA76.73.P98
Contents:
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
Summary: "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".
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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".

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