This chapter teaches one of the most powerful Python libraries for data analysis: NumPy. You will learn key functions used for analysis and we'll also discuss arrays and matrix data structures using NumPy. Finally, we'll walk through some practical examples that serve as a foundation for future learning modules.
In this chapter, we will cover the following:
- Understanding a Python NumPy array and its importance
- Differences between single and multiple dimensional arrays
- Making your first NumPy array
- Practical use cases of NumPy and arrays
Technical requirements
Here's theGitHub repositoryof this book: https://github.com/PacktPublishing/Practical-Data-Analysis-using-Jupyter-Notebook/tree/master/Chapter03.
You can ...
