Summary
In this chapter, we installed NumPy, SciPy, Pandas, Matplotlib, IPython, and Jupyter Notebook, all of which we will be using in this book. We got a vector addition program working, and learned how NumPy offers superior performance. In addition, we explored the available documentation and online resources. We executed code to find the modules inside the libraries and loaded some sample datasets to draw some basic plots using Matplotlib.
In the next chapter, Chapter 2, NumPy Arrays, we will take a look under the hood of NumPy and explore some fundamental concepts, including arrays and data types.
