Updated structure of lecture plan and file names (needs to be double checked)

exercises/02450Toolbox_Python/Scripts/check_installation.py

@@ -16,7 +16,7 @@ print('Current working directory {}.'.format(pathlib.Path().resolve()))
 print('')
 print('The numpy version is {}.'.format(np.__version__))
 print('The scikit-learn version is {}.'.format(sklearn.__version__))
-print('The torch version is{}.'.format(torch.__version__))
+print('The torch version is {}.'.format(torch.__version__))
 
 """
 Check that the course specific tools can be imported 
@@ -25,7 +25,7 @@ import dtuimldmtools
 print('The dtuimldmtools package {}.'.format(dtuimldmtools))
 
 """
-Check that pandas can be imported (use in ex1)
+Check that pandas can be imported (used in ex1)
 
 Note_ If this fails you need to install panda manually https://pandas.pydata.org/docs/getting_started/install.html
 

exercises/02450Toolbox_Python/Scripts/ex0_4_5.py

@@ -18,9 +18,10 @@ x = np.asmatrix(np.arange(1, 6))
 y = np.asmatrix(np.arange(2, 12, 2))
 # Again, have a look at them by typing 'x' and 'y' in the console
 
-# Try using the * operator just as before now:
+# Try using the * operator just as before now (this should not work!):
 x * y
-# You should now get an error - try to explain why.
+# You should now get an error - try to explain why 
+# (comment or remove the line to run the rest of the script).
 
 # array and matrix are two data structures added by NumPy package to the list of
 # basic data structures in Python (lists, tuples, sets). We shall use both

exercises/02450Toolbox_Python/Scripts/ex0_5_1.py

@@ -5,9 +5,12 @@ import numpy as np
 x = np.arange(0, 1, 0.1)
 f = np.exp(x)
 
+
 plt.figure(1)
 plt.plot(x, f)
 plt.xlabel("x")
 plt.ylabel("f(x)=exp(x)")
 plt.title("The exponential function")
 plt.show()
+
+# %%