📝 Improve explanation for exercise 2d

solutions/module_02.ipynb

@@ -162,30 +162,30 @@
    "source": [
     "**Answer 2d**\n",
     "\n",
-    "Will have to import libraries.\n",
+    "After `import`ing the libraries you can use ```dir(X)``` to list the attributes of each module\n",
     "\n",
-    "Can use ```dir(X)``` to list the attributes of the modules\n",
+    "There will be some depreciation warnings from `scipy` instructing users to use `numpy` or `numpy.lib` (which can also be investigated via ```dir(numpy.lib)```\n",
     "\n",
-    "There will be some depreciation warnings from scipy instructing users to go use numpy or numpy.lib (which can also be investigated via ```dir(np.lib)```\n",
+    "`pi`: Use `numpy.pi`, `scipy.pi`, `math.pi`. `statistics` has `tau` but not `pi`.\n",
     "\n",
-    "Statistics will return the mean as an integer whereas numpy and scipy will return a float.\n",
+    "`log`: Use `numpy.log10`, `scipy.log10`, `math.log10`. `statistics` has `log` but not `log10`: `log(n)/log(10)` can be used instead.\n",
     "\n",
-    "All return the same value of pi.\n",
+    "For log(+ive) we use +12.01 as an example while for log(-ive) we use -11.99 as an example.\n",
     "\n",
-    "scipy returns a complex number for the negative log example with an imaginary part of pi.\n",
+    "| Module     | pi         | log(+ive)  | log(-ive)                | mean |\n",
+    "|:-----------|:----------:|:----------:|:------------------------:|:----:|\n",
+    "| numpy      | 3.14159... | 1.07954... | nan                      | 5.0  |\n",
+    "| scipy      | 3.14159... | 1.07954... | (1.07881...+1.36437...j) | 5.0  |\n",
+    "| math       | 3.14159... | 1.07954... | math domain error        | n/a  |\n",
+    "| statistics | n/a        | 1.07954... | math domain error        | 5    |\n",
     "\n",
-    "log(+ive) using +12.01 as an example\n",
+    "All libraries return the same value of pi.",
     "\n",
-    "log(-ive) using -11.99 as an example\n",
+    "All libraries return the same value of log(+ive).",
     "\n",
-    "| Module | pi| log(+ive) | log(-ive)| mean|\n",
-    "| :-------|:-------------:|:-----:|:-----:|:-----:|\n",
-    "|numpy|3.14159...|2.48573...|nan|5.0|\n",
-    "|scipy|3.14159...|2.48573...|(2.48407... + 3.14159...j)|5.0|\n",
-    "|math|3.14159...|2.48573...|math domain error|§|\n",
-    "|statistics|§|2.48573...|math domain error|5|\n",
+    "scipy returns a complex number for the negative log example while all others produce an error.\n",
     "\n",
-    "§ module doesn't have method"
+    "`statistics` returns the mean as an integer whereas `numpy` and `scipy` return a float.\n"
    ]
   },
   {