install it using #pkg install gnome3 /etc/fstab  proc /proc procfs rw 0 0 /etc/rc.conf gdm_enable=“YES” gnome_enable="YES" The menu is missing install Parallel Tools

Got boot-only iso and managed to install it on my Parallel Desktop on my Macbook Air with Yosemite. 

Of course it just CLI.

Strange, the root shell have tab completion feature, but the normal users didn’t.

based on Solarian Programmer.

This code print d and e as result of two matrix addition, e's using python native code, d's using fortran module compiled with F2PY The code import numpy as np import aravir as ar import time n = 1000 u = np.ones((n,n)) v = np.ones((n,n)) e = np.ones((n,n)) t = time.clock() d = ar.add3(u,v) tfortran= time.clock()-t t = time.clock() for i in range (n): for j in range (n): e[i,j] = u[i,j]+v[i,j] tnative = time.clock()-t print 'fortran ', d print 'native', e print 'tfortran = ', tfortran, ', tnative = ', tnative

Python is easy to use, but it's slow, especially for loop computation.

I used Numpy  Matplotlib with Animation and 3d Plot module on my OS X Yosemite.

And here's the animation

import numpy as np import matplotlib.pyplot as plt import matplotlib.animation as animation from mpl_toolkits.mplot3d import Axes3D def data(i, z, line): z = np.sin(x+y+i) ax.clear() line = ax.plot_surface(x, y, z,color= 'b') return line, n = 2.*np.pi fig = plt.figure() ax

It's slightly modified from before

import numpy as np import matplotlib.pyplot as plt import matplotlib.animation as animation from mpl_toolkits.mplot3d import Axes3D n = 2.*np.pi fig = plt.figure() ax = fig.add_subplot(111, projection='3d') x = np.linspace(0,n,100) y = np.linspace(0,n,100) x,y = n

Here is the update from before

import numpy as np import matplotlib.pyplot as plt import matplotlib.animation as animation def simData(): t_max = n dt = 1./8 k = 0.0 t = np.linspace(0,t_max,100) while k < t_max: x = np.sin(np.pi*t+np.pi*k) k = k + dt yield x, t def simPoints(simData): x, t = simDat

Coding like this

import numpy as np from matplotlib import pyplot as plt from matplotlib import animation fig = plt.figure() n = 10 x = np.linspace(0,2*np.pi,100) def init(): pass def animate(k): h = np.sin(x+np.pik) plt.plot(x,h) ax = plt.axes(xlim=(0, 2*np.pi), ylim=(-1.1, 1.1)) anim = animation.

Here it is. I create a vector as new type, which is in itself is three dimension array. Then I declared u as vector with three dimension; u (h,i,j) where h = 0, 1, 2  as physical component (eg: height, velocity, momentum) i , j = 0, 1, 2, ..., n as row n column So if we read u[0,1,1], it means height value at coordinate (1,1); u[1,1,1] is the velocity value; [2,1,1] is the momentum value at the same coordinate. Trying some of properties of it. I found out that we can initialize all component of vector-u with this one line code u:=fu(h[i,j],i,j); so the component u(h,i,j) will filled. Notice that the function has vector (or in this case array) return value.

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