Now that we have worked on a real example utilizing the foundational data analysis libraries from SciPy stack, it's time to learn about NumPy arrays. This chapter acquaints you with the fundamentals of NumPy arrays. At the end of this chapter, you will have a basic understanding of NumPy arrays and related functions.
The topics we will address in this chapter are as follows:
The NumPy array object
Creating a multidimensional array
Selecting NumPy array elements
NumPy numerical types
One-dimensional slicing and indexing
Manipulating array shapes
Creating array views and copies
Fancy indexing
Indexing with a list of locations
Indexing NumPy arrays with Booleans
Broadcasting NumPy arrays
You may want to open the ch-02.ipynb
file in Jupyter Notebook to follow along the examples in this chapter or type them in a new notebook of your own.