Minor fixes and Comments

README.md

@@ -1,8 +1,8 @@
 # Introduction
-This tutorial is a complete re-imagining of how one should teach users
+``This tutorial is a complete re-imagining of how one should teach users
 the matplotlib library. Hopefully, this tutorial may serve as inspiration
 for future restructuring of the matplotlib documentation. Plus, I have some
-ideas of how to improve this tutorial.
+ideas of how to improve this tutorial.``
 
 Please fork and contribute back improvements! Feel free to use this tutorial
 for conferences and other opportunities for training.

solutions/1.1-subplots_and_basic_plotting.py

@@ -1,3 +1,4 @@
+# import required libraries 
 import numpy as np
 import matplotlib.pyplot as plt
 
@@ -11,4 +12,5 @@
     ax.plot(x, y, color='black')
     ax.set(xticks=[], yticks=[], title=name)
 
+#printing plot in IDE
 plt.show()

solutions/2.1-bar_and_fill_between.py

@@ -1,8 +1,9 @@
+#import required libraries 
 import numpy as np
 import matplotlib.pyplot as plt
-np.random.seed(1)
+np.random.seed(1) # generates exact same random values as they are here inside .seed(value)
 
-# Generate data...
+# Generate Random  data...
 y_raw = np.random.randn(1000).cumsum() + 15
 x_raw = np.linspace(0, 24, y_raw.size)
 
@@ -23,8 +24,10 @@
 
 # Now you're on your own!
 
+#making sublots
 fig, ax = plt.subplots()
 
+#Styling the Plot a little ...
 ax.plot(x_raw, y_raw, color=linecolor)
 ax.bar(x_pos, y_avg, width=bar_width, color=barcolor, yerr=y_err, 
        ecolor='gray', edgecolor='gray')