This book offers a practical, modern introduction to data science tools in Python, such as the Jupyter notebook, IPython shell, NumPy, pandas, matplotlib, and more. Through detailed examples and case studies, readers will learn how to solve a variety of data analysis problems while gaining an understanding of the latest versions of pandas, NumPy, and Jupyter. Data files and related material are available on GitHub.
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