Summary
In this chapter, you learned a lot about NumPy and SciPy subpackages. We looked at linear algebra, statistics, continuous and discrete distributions, masked arrays, and random numbers.
The next chapter, Chapter 5, Retrieving, Processing, and Storing Data, will teach us skills that are essential, though they may not be considered data analysis by some people. We will use a broader definition that considers anything conceivably related to data analysis. Usually, when we analyze data, we don't have a whole team of assistants to help us with retrieving and storing the data. However, since these tasks are important for a smooth data analysis flow, we will describe these activities in detail.
