diff --git a/pep-0203.txt b/pep-0203.txt
index b637e9266..1c89a3df9 100644
--- a/pep-0203.txt
+++ b/pep-0203.txt
@@ -6,6 +6,148 @@ Python-Version: 2.0
 Status: Incomplete
 
 
+
+Introduction
+
+    This PEP describes the `augmented assignment' proposal for Python
+    2.0.  This PEP tracks the status and ownership of this feature,
+    slated for introduction in Python 2.0.  It contains a description
+    of the feature and outlines changes necessary to support the
+    feature.  This PEP summarizes discussions held in mailing list
+    forums, and provides URLs for further information, where
+    appropriate.  The CVS revision history of this file contains the
+    definitive historical record.
+
+
+
+The Origin of Augmented Assignment
+
+    Augmented assignment refers to binary operators that combine two
+    existing operators: the assignment operator, and one of the binary
+    operators. Its origins lie in other programming languages, most
+    notably `C', where it was defined for performance reasons. They
+    are meant to replace the repetetive syntax of, for instance,
+    adding the number '1' to a variable:
+    
+      x = x + 1;
+      
+    with an expression that is shorter, less error-prone and easier to
+    optimize (by the compiler):
+    
+      x += 1;
+      
+    The same goes for all other binary operands, resulting in the
+    following augmented assignment operator list, based on Python's
+    current binary operator list:
+
+      +=, -=, /=, *=, %=, **=, >>=, <<=, &=, |=, ^=
+    
+    See the documentation of each operator on what they do.
+
+     
+
+Augmented Assignment in Python
+
+    The traditional reasons for augmented assignment, readability and
+    optimization, are not as obvious in Python, for several reasons.
+    
+     - Numbers are immutable, they cannot be changed. In other
+       programming languages, a variable holds a value, and altering
+       the variable changes the value it holds. In Python, variables
+       hold `references' to values, and altering an immutable value
+       means changing the variable, not what it points to.
+
+     - Assignment is a different operation in Python. In most
+       languages, variables are containers, and assignment copies a
+       value into that container. In Python, assignment binds a value
+       to a name, it does not copy the value into a new storage space.
+       
+     - The augmented assignment operators map fairly directly into the
+       underlying hardware. Python does not deal directly with the
+       hardware it runs on, so this `natural inclusion' does not make
+       sense.
+
+     - The augmented assigment syntax is subtly different in more
+       complex expressions. What to do, for instance, in a case such
+       as this:
+       
+       seq[i:calc(seq, i)] *= r
+       
+       It is unclear whether 'seq' gets indexed once or twice, and
+       whether 'calc' gets called once or twice.
+
+
+
+Normal operators
+
+    There are, however, good reasons to include augented assignment. 
+    One of these has to do with Python's way of handling operators. In
+    Python, a user defined class can implement one or more of the
+    binary operators by supplying a 'magic' method name. For instance,
+    for a class to support '<instance> + <object>', the '__add__'
+    method should be defined. This method should return a new object,
+    which is the result of the expression.
+    
+    For the case of '<object> + <instance>', where 'object' does not
+    have an '__add__' method, the class can define a '__radd__'
+    method, which then should behave exactly as '__add__'. Indeed,
+    '__radd__' is often a different name for the same method.
+    
+    For C extention types, a similar technique is available, through
+    the PyNumberMethods and PySequenceMethods members of the PyType
+    structure.
+
+    However, the problem with this approach is that the '__add__'
+    method cannot know in what context it is called. It cannot tell
+    whether it should create a new object, or whether it is allowed to
+    modify itself. (As would be the case in 'x = x + 1') As a result,
+    the '__add__' method, and all other such 'magic' methods, should
+    always return a new object. For large objects, this can be very
+    inefficient.
+    
+    This inefficiency is often solved by adding a method that does the
+    appropriate modification 'in-place'. List objects, for instance,
+    have the 'extend' method that behaves exactly as the '+' operator,
+    except the operation is done on the list itself, instead of on a
+    copy.
+
+    The augmented assignment syntax can support this behaviour
+    explicitly. When the magic method for 'in-place' operation are
+    missing, it can fall back to the normal methods for that
+    operation, maintaining full backward compatibility even when
+    mixing the new syntax with old objects.
+
+    The other benifit of augmented assignment is readability. After
+    the general concept of augmented assignment is grasped, all the
+    augmented assigment operators instantly become obvious. There is
+    no need for non-obvious and non-standard method names to implement
+    efficient, in-place operations, and there is no need to check the
+    type of an object before operating on it: the augmented assignment
+    will work for all types that implement that basic operation, not
+    merely those that implement the augmented variant.
+    
+    And the last problem with augmented assignment, what to do with
+    indexes and function calls in the expression, can be solved in a
+    very Pythonic manner: if it looks like it's only called once, it
+    *is* only called once. Taking this expression:
+    
+    seq[func(x)] += x
+    
+    The function 'func' is called once, and 'seq' is indexed twice:
+    once to retrieve the value (__getitem__), and once to store it
+    (__setitem__). So the expression can be rewritten as:
+    
+    tmp = func(x)
+    seq[tmp] = seq[tmp] + x
+    
+    The augmented assignment form of this expression is much more
+    readable.
+    
+
+
+
+
+
 
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