What you need for this book
You need to know the content of this book's prequel, Learning IPython for Interactive Computing and Data Visualization: Python programming, the IPython console and notebook, numerical computing with NumPy, basic data analysis with pandas as well as plotting with matplotlib. This book tackles advanced scientific programming topics that require you to be familiar with the scientific Python ecosystem.
In Part 2, you need to know the basics of calculus, linear algebra, and probability theory. These chapters introduce different topics in data science and applied mathematics (statistics, machine learning, numerical optimization, signal processing, dynamical systems, graph theory, and others). You will understand these recipes ...
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