diff --git a/src/crossover/examples.py b/src/crossover/examples.py
index 25d91c8..5b64d81 100644
--- a/src/crossover/examples.py
+++ b/src/crossover/examples.py
@@ -1,3 +1,15 @@
 class crossover_examples:
-    """Crossover examples will go here """
-    pass
+    """ Crossover explination goes here.
+
+    Points - Defined as sections between the chromosomes genetic makeup
+    """
+
+    def single_point_crossover(ga):
+        """Single  point crossover is when a "point" is selected and the genetic
+        make up of the two parent chromosomes are "Crossed" or better known as swapped"""
+        pass
+
+    def multi_point_crossover(ga,number_of_points = 2):
+        """Multi point crossover is when a specific number (More then one) of
+        "points" are created to merge the genetic makup of the chromosomes."""
+        pass
diff --git a/src/selection/examples.py b/src/selection/examples.py
index 8920f7d..102fc5a 100644
--- a/src/selection/examples.py
+++ b/src/selection/examples.py
@@ -1,3 +1,14 @@
 class selection_examples:
-    """Selection examples will go here """
-    pass
+    """Selection defintion here"""
+
+    def tournament_selection():
+        """ """
+        pass
+
+    def roulette_selection():
+        """Roulette selection works based off of how strong the fitness is of the
+        chromosomes in the population. The stronger the fitness the higher the probability
+        that it will be selected. Using the example of a casino roulette wheel.
+        Where the chromosomes are the numbers to be selected and the board size for
+        those numbers are directly proportional to the chromosome's current fitness."""
+        pass