Using additional libraries for plotting and analysis
Before we end this chapter on experimental data, the use of libraries, and plotting and analyzing data, let’s look at three more libraries that are helpful in data analysis and plotting. These are not the only libraries for analysis and plotting, nor will they be the only ones we’ll explore throughout the rest of this book:
- Seaborn is a library that’s used for data visualization and is built on top of Matplotlib.
- SciPy is a library that’s used for linear algebra, optimization, statistics, and more. It’s built on top of NumPy.
- Scikit-Learn is a library that’s used in machine learning. It’s part of the SciPy stack.
In the following chapters, we’ll dive deeper into the use of some of these libraries as we tackle some of the application problems that require their use. For now, let’s take a quick look at what each of these libraries can help us with...
