June 2018
Intermediate to advanced
248 pages
5h 27m
English
Content preview from Mastering Numerical Computing with NumPy
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Summary
In this chapter, you have explored various low-level libraries that can be paired with NumPy, as well as their configuration. We have deliberately run through the EC2 provision so that you can get familiar with basic Linux command line operations. You have also investigated various compute-intensive, numerical, linear algebra operations that you will use to benchmark different configurations in the next chapter.
In the next chapter, we will create a benchmark python script to be run on each configuration. You will be able to see the performance metrics for different linear algebra operations and different sizes of matrices