im-/mutable objects added. /JL

basics/mutable_and_immutable_objects.py

@@ -0,0 +1,59 @@
+"""
+Mutable and immutable objects
+"""
+
+# A mutable object is an object which can be modified in place.
+# In python, everything is an object(class). So creating any variable
+# will create a class instance of that object type, with a specific set of methods,
+# which can operate on the object. It will also contain the content.
+#
+# A mutable object is an object which stays the same object, no matter what legal operation you do on it.
+# There are basically 3 types of mutable objects in python.
+# Lists, dictionaries and sets.
+list()
+dict()
+set()
+
+# What makes these objects mutable, is the fact that you can alter the content without
+# altering the object itself. i.e. you can append items to a list or remove items from a list.
+# The same mechanics are true for dictionaries and sets.
+
+# Immutable objects are objects that can't be changed.
+# These are some of the types which are immutable.
+str()
+int()
+float()
+
+# What characterisses an immutable object, is that the object itself holds the content.
+# In other words, 1 value = 1 object. Take the following example.
+A: int = 5
+B: int = 5
+
+# Here, we have created 2 objects 'A' and 'B', both with the integer value '5'.
+# What happens in python is that when creating such objects, it will start by searching
+# already created objects to see if an object with this specific value has already been
+# created. If python finds that an object of this particular type and value exists, it
+# will return a pointer to this object.
+# That means that in our example, both 'A' and 'B' are the same object. We can prove that
+# with the following. Using id() on the variable(class object) will show the internal
+# python id of that object.
+print(id(A))
+print(id(B))
+
+# So we can see that these objects both points to the same internal object, meaning that
+# only 1 int(5) object exists, but we can have multiple varables pointing to it.
+# This is exactly what immutable objects are. There can be only 1 of each.
+# Now explore the following.
+A: int = 5
+B: int = 5
+print(id(A))
+print(id(B))
+B += 1 # add 1 to variable 'B'
+print(id(A))
+print(id(B))
+
+# What happens here?
+# Now variable 'A' still points to the int(5) class object. But a new int(6) clas object
+# have been created and variable 'B' now points to this object.
+# The same is the case with string objects. Each string object can only contain the string
+# value, it was created with.

basics/naming_convention.py

@@ -67,6 +67,10 @@ class MyClass:
         with open(self.folder + filename, "w") as F:
             F.write()
 
+# Dont's
+# Don't user lowercase, uppercase or snakecase in class names.
+# Be careful to give your classes meaningful names. Preferably describing what the class is used for.
+
 # You can create several instances of the same class. Which is where 'self' comes into play.
 myclass = MyClass()
 myclass_1 = MyClass(folder = "/home/me/")