latest filled

SCW-2019/filled/ProgPy_Analyzing_Patient_Data_filled.ipynb

@@ -1023,8 +1023,7 @@
     }
    ],
    "source": [
-    "image = matplotlib.pyplot.imshow(data) # Remider: explain %matplotlib inline Note: Ipython!!\n",
-    "                                       # otherwise matplotlib.pyplot.show() is mandatory!!"
+    "image = matplotlib.pyplot.imshow(data)"
    ]
   },
   {

SCW-2019/filled/ProgPy_Lists_filled.ipynb

@@ -14,7 +14,7 @@
    "source": [
     "Difference with array?\n",
     "<li>They are very similar but they do not belong to numpy, and do not have some of the attributes of numpy arrays, such as mean sd max min etc... Beside this they are pretty similar in concept\n",
-    "<li>We create a list the same "
+    "<li>We create a list using brackets"
    ]
   },
   {

SCW-2019/filled/ProgPy_Making_choices_filled.ipynb

@@ -383,9 +383,9 @@
    ],
    "source": [
     "filenames = sorted(glob.glob('inflammation*.csv'))\n",
-    "filenames = filenames[0:3] # Get elements 0, 1 and 2 of the list corresponding to inf-01 inf-02 and inf-03\n",
-    "filenames\n",
-    "for f in filenames:\n",
+    "# Get elements 0, 1 and 2 of the list corresponding to inf-01 inf-02 and inf-03\n",
+    "\n",
+    "for f in filenames[:3]:\n",
     "    print(f,':')\n",
     "    data = numpy.loadtxt(fname=f, delimiter=',')\n",
     "    if (data.max(axis=0)[0]==0) and (data.max(axis=0)[20]==20): # Anomalous linear behavior of the max in the data\n",