| Python for Data Science (No Starch Press) |
| Monday, 15 August 2022 | |||
This book provides a hands-on introduction to the Pythonic world of data analysis with a learn-by-doing approach rooted in practical examples and activities. Yuli Vasiliev shows how to write Python code to obtain, transform, and analyze data, practicing state-of-the-art data processing techniques and looks at Python’s rich set of built-in data structures for basic operations, as well as its robust ecosystem of open-source libraries for data science, including NumPy, pandas, scikit-learn and matplotlib. Examples show how to load data in various formats, how to streamline, group, and aggregate data sets, and how to create charts, maps, and other visualizations. Author: Yuli Vasiliev
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