import matplotlib.pyplot as pltX=(1,2,4,8)Y=([1, 0.222, 0.011,0.014],[1, 0.230, 0.044, 0.230],[1, 0.535, 0.638, 0.280],[1, 1.215, 0.672, 0.562])fig,ax=plt.subplots()ax:plt.Axesax.set_xlabel("Processes")ax.set_ylabel("Speedup")for y in Y: ax.plot(X,y,"-o")ax.legend(("n=256","n=1024","n=4096","n=16384"))plt.show()import numpy as npimport matplotlib.pyplot as pltaccuracies=np.random.rand(40)fig,..
