- Practical Data Analysis Using Jupyter Notebook
- Marc Wintjen Andrew Vlahutin
- 88字
- 2021-06-18 18:59:01
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
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