Chapter 9. Python for Big Genomics Datasets
In this chapter, we will cover the following recipes:
Setting the stage for high-performance computing
Designing a poor human concurrent executor
Performing parallel computing with IPython
Computing the median in a large dataset
Optimizing code with Cython and Numba
Programming with laziness
Thinking with generators