Structure change to make it easier for users to clone and use the repository.

CHANGELOG.rst

@@ -1 +0,0 @@
-

EasyGA.py

@@ -97,13 +97,15 @@ class GA(Attributes):
 
 
     def update_population(self):
-        """Updates the population to the new population and resets the mating pool and new population."""
+        """Updates the population to the new population and resets
+         the mating pool and new population."""
 
         self.population.update()
 
 
     def reset_run(self):
-        """Resets a run by re-initializing the population and modifying counters."""
+        """Resets a run by re-initializing the population
+         and modifying counters."""
 
         self.initialize_population()
         self.current_generation = 0
@@ -111,7 +113,8 @@ class GA(Attributes):
 
 
     def active(self):
-        """Returns if the ga should terminate based on the termination implimented."""
+        """Returns if the ga should terminate based on the
+         termination implimented."""
 
         return self.termination_impl()
 

README.md

@@ -4,7 +4,7 @@
 
 EasyGA is a python package designed to provide an easy-to-use Genetic Algorithm. The package is designed to work right out of the box, while also allowing the user to customize features as they see fit.
 
-### Check out our [wiki](https://github.com/danielwilczak101/EasyGA/wiki) for more information.
+## Check out our [wiki](https://github.com/danielwilczak101/EasyGA/wiki) for more information.
 
 ## Installation:
 

src/README.md

@@ -1,25 +0,0 @@
-### ----- To run from the downloaded source code -----
-run.py
-
-#### ----- Main functionality files -----
-EasyGA.py
-attributes.py
-
-#### ----- Decorators used to simply code -----
-decorators.py
-
-#### ----- Genetic Algorithm process -----
-crossover/
-mutation/
-parent/
-survivor/
-termination/
-
-#### ----- Building blocks -----
-structure/
-
-#### ----- Example code -----
-examples/
-
-#### ----- Testing -----
-test_EasyGA.py