
Book Details
| Print ISBN | 9781943873173 |
| eText ISBN | 9781943873180 |
| Publisher | Murach |
| Publishing Year | 2024 |
| Edition | 2nd Edition |
| Language | English |
| Pages | 592 |
Murach's Python for Data Science, 2nd Edition, is a textbook designed for prospective data analysts and data scientists. It provides structured guidance on applying Python to manage, analyze, and visualize data across professional workflows.
The text introduces code management using JupyterLab and Notebooks, accompanied by core analytical work in Pandas and visualization with Seaborn. Readers also explore foundational descriptive data preparation and predictive modeling techniques to forecast numeric values.
Intended for readers with basic programming experience in Python or another language, the textbook supports learning through a paired-pages format. This layout presents explanations on the left-hand page facing relevant syntax, operational rules, and code examples on the right.
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