What this book covers
This book is split into two parts:
Part 1 (chapters 1 to 6) covers relatively advanced methods in interactive numerical computing, high-performance computing, and data visualization.
Part 2 (chapters 7 to 15) introduces standard methods in data science and mathematical modeling. Many of these methods are applied to real-world data.
Part 1 – Interactive Computing with Jupyter
Chapter 1, A Tour of Interactive Computing with Jupyter and IPython, contains a brief introduction to data analysis and numerical computing with IPython and Jupyter. It not only covers common packages such as Python, NumPy, pandas, and Matplotlib, but also advanced IPython/Jupyter topics such as interactive widgets in the Notebook, custom magic commands, ...
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