In practice – applying what you’ve learned
To practice what you have learned in this chapter, we have prepared a data analysis simulation lab in this section. We will run a simple Python code to analyze latency data from three different applications.
You will need prerequisite knowledge to completely appreciate this lab, such as basic notions of the Python programming language.
We will divide this practice into three sections:
- Lab architecture
- Lab contents
- Lab instructions
First, let’s check out how we have designed this lab.
Lab architecture
This lab uses Python with two distinct libraries from the Python Package Index (PyPi): NumPy and matplotlib
. You will need to have the python
and pip
binaries installed on a laptop with access to the internet (see Figure 7.6).
Figure 7.6 – The lab architecture for the data analysis simulation
The pip
command pulls the packages from PyPi and installs them...