GitContainer
diff --git a/‎lessons/01_Step_1.ipynb‎
Lines changed: 19 additions & 17 deletions b/‎lessons/01_Step_1.ipynb‎
Lines changed: 19 additions & 17 deletions
diff --git a/‎lessons/02_Step_2.ipynb‎
Lines changed: 9 additions & 8 deletions b/‎lessons/02_Step_2.ipynb‎
Lines changed: 9 additions & 8 deletions
@@ -27,7 +27,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "This IPython notebook continues the presentation of the **12 steps to Navier-Stokes**, the practical module taught in the interactive CFD class of [Prof. Lorena Barba](http://lorenabarba.com). You should have completed [Step 1](http://nbviewer.ipython.org/urls/github.com/barbagroup/CFDPython/blob/master/lessons/01_Step_1.ipynb) before continuing, having written your own Python script or notebook and having experimented with varying the parameters of the discretization and observing what happens.\n"
+    "This IPython notebook continues the presentation of the **12 steps to Navier-Stokes**, the practical module taught in the interactive CFD class of [Prof. Lorena Barba](http://lorenabarba.com). You should have completed [Step 1](./01_Step_1.ipynb) before continuing, having written your own Python script or notebook and having experimented with varying the parameters of the discretization and observing what happens.\n"
    ]
   },
   {
@@ -77,12 +77,12 @@
     "\n",
     "\n",
     "nx = 41\n",
-    "dx = 2./(nx-1)\n",
+    "dx = 2 / (nx - 1)\n",
     "nt = 20    #nt is the number of timesteps we want to calculate\n",
     "dt = .025  #dt is the amount of time each timestep covers (delta t)\n",
     "\n",
     "u = numpy.ones(nx)      #as before, we initialize u with every value equal to 1.\n",
-    "u[.5/dx : 1/dx+1]=2  #then set u = 2 between 0.5 and 1 as per our I.C.s\n",
+    "u[int(.5 / dx) : int(1 / dx + 1)] = 2  #then set u = 2 between 0.5 and 1 as per our I.C.s\n",
     "\n",
     "un = numpy.ones(nx) #initialize our placeholder array un, to hold the time-stepped solution"
    ]
@@ -104,15 +104,15 @@
    "source": [
     "for n in range(nt):  #iterate through time\n",
     "    un = u.copy() ##copy the existing values of u into un\n",
-    "    for i in range(1,nx):  ##now we'll iterate through the u array\n",
+    "    for i in range(1, nx):  ##now we'll iterate through the u array\n",
     "    \n",
     "     ###This is the line from Step 1, copied exactly.  Edit it for our new equation.\n",
     "     ###then uncomment it and run the cell to evaluate Step 2   \n",
     "      \n",
-    "           ###u[i] = un[i]-c*dt/dx*(un[i]-un[i-1]) \n",
+    "           ###u[i] = un[i] - c * dt / dx * (un[i] - un[i-1]) \n",
     "\n",
     "        \n",
-    "pyplot.plot(numpy.linspace(0,2,nx),u) ##Plot the results"
+    "pyplot.plot(numpy.linspace(0, 2, nx), u) ##Plot the results"
    ]
   },
   {
@@ -145,6 +145,7 @@
    "outputs": [
     {
      "data": {
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       "text/html": [
        "\n",
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@@ -157,7 +158,7 @@
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       ],
       "text/plain": [
-       "<IPython.lib.display.YouTubeVideo at 0x7fabcd5388d0>"
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      "execution_count": 2,
@@ -305,7 +306,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.4.3"
+   "version": "3.5.2"
   }
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