Getting Started with NumPy

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.

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