Chapter 3. Numerical Computing with NumPy
NumPy is the library that underlies the entire SciPy/PyData ecosystem. NumPy provides a multidimensional array data type that is widely used in numerical computing.
In this chapter, we will use NumPy on data analysis and scientific modeling examples, covering the following topics:
- A primer to vector computing
- Creating and loading arrays
- Basic array manipulations
- Computing with NumPy arrays
A primer to vector computing
Vector computing is about efficiently performing mathematical operations on numerical arrays. Many problems in science and engineering actually consist of a sequence of such operations.
This section introduces and demonstrates the multidimensional array data type for numerical computing.