Merge branch 'master' of https://github.com/mkosaka1/Python_Classes into master

Author: mkosaka1

README.md

@@ -1,2 +1,92 @@
-# Python_Classes
-## Basics of Python Classes with examples
+# Basics of Python Objects and Classes
+
+Python is an object oriented programming language, which as you can guess, stresses on objects whereas procedure oriented programming stresses on functions. Objects are simply a collection of attributes (variables) and methods (functions) that act on those data and a class is a blueprint for that object. Python classes can be thought of as blueprints of a house, and objects can be thought of as a particular instance of that house (there can be multiple objects for one class, while they all may differ in number of bedrooms/bathrooms/etc., they will all have the same blueprint of the class).
+
+In computer programming, classes are a great way to organize attributes (variables) and methods (functions) so that they are easy to reuse and extend later. In this post, we will walk through how to build a basic class in python. Specifically, we will discuss the example of implementing a class that represents company employees.
+
+```
+class Employee:
+    pass
+
+employee1=Employee()
+employee2=Employee()
+
+print("Employee 1 is", employee1)
+print("Employee 2 is", employee2)
+```
+
+We have created an Employee class, then instantiated an *employee1* and *employee2* object using the Employee class.
+
+```
+class Employee:
+    pass
+
+employee1=Employee()
+employee1.name='Matt'
+employee1.income=50000
+
+print(employee1.name)
+print(employee1.income)
+
+employee2=Employee()
+employee2.name='Penelope'
+employee2.income=90000
+
+print(employee2.name)
+print(employee2.income)
+```
+
+Here we created attributes **name** and **income** for our *employee1* and *employee2* objects. This is however not ideal as it is not efficient, to correct this, we can use the ```__init__()``` method to define attributes automatically as we instantiate objects.
+
+```
+class Employee:
+    def __init__(self, name, income):
+        self.name=name
+        self.income=income
+
+employee1=Employee('Matt',50000)
+print(employee1.name)
+print(employee1.income)
+
+employee2=Employee('Penelope',90000)
+print(employee2.name)
+print(employee2.income)
+
+# OUTPUT
+Matt
+50000
+Penelope
+90000
+```
+
+We can have multiple methods within a class, so let's also create a method that determines an employees level of earning based on their **income**. Let's see what level of earning Matt and Penelope are by calling the *earning* method.
+```
+class Employee:
+    def __init__(self, name, income):
+        self.name=name
+        self.income=income
+        
+    def earning(self):
+        if self.income >= 80000:
+            return 'High Earning'
+        elif (self.income<8000) & (self.income>50000):
+            return "Medium Earning"
+        else:
+            return "Low Earning"
+employee1=Employee('Matt',50000)
+level_earning=employee1.earning()
+print(employee1.name, "=", level_earning)
+employee2=Employee('Penelope',90000)
+level_earning=employee2.earning()
+print(employee2.name, "=", level_earning)
+# Output
+Matt = Low Earning
+Penelope = High Earning
+
+#OUTPUT
+Matt = Low Earning
+Penelope = High Earning
+```
+
+As you can see, calling the earning method on the employee1 and employee2 objects tells us what level of earning each employee is at.
+To review, we have created a class with two methods, an **__init__()** method that initializes attributes of name and income and an earning method that return the level of earning depending on a persons income. We then created two objects, *employee1* with the parameters “Matt” and 50000, when these objects were created the **__init__()** method is called and name and income of the *employee1* object are now “Matt” and 50000. Then we checked what level of earning *employee1* is at and printed the results. We followed the same procedure when creating the *employee2* object.