Building an Optimized R with Intel’s MKL

This is a work in progress, general notes are below, I will clean up when I have some time. First, download the R sourcecode tarball here.  Clock “download R,” select an appropriate mirror and download the .tar.gz file. Set an environment variable containing the version number, for example

next, extract the tarball and switch … Read more

embed notebook test

In [1]: # plotting %matplotlib inline import matplotlib.pyplot as plt from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes from mpl_toolkits.axes_grid1.inset_locator import mark_inset In [4]: x = np.random.normal(size=1000) walk = np.cumsum(x) In [5]: plt.plot(walk) Out[5]: [<matplotlib.lines.Line2D at 0x7f96650ca350>] In [ ]: