RE: Python: An Illustration That Sticks With Me
- From: "Rodney Haynie" <rhaynie@xxxxxxxxxxx>
- To: <programmingblind@xxxxxxxxxxxxx>
- Date: Fri, 29 Oct 2010 21:59:30 -0400
Ah, the old Commodore 64 and Vic 20 days. I remember them well. Typing in
20+ pages of code in order to get a game someone wrote and published in the
magazine. Man, what was the name of those mags... I think Byte was one of
them. That was the beginning of my programming. Entering the code, and
then wondering, what would happen if I changed this to...
Anyway, I am old. (smile)
-Rodney
From: programmingblind-bounce@xxxxxxxxxxxxx
[mailto:programmingblind-bounce@xxxxxxxxxxxxx] On Behalf Of Jacob Kruger
Sent: Friday, October 29, 2010 5:43 PM
To: programmingblind@xxxxxxxxxxxxx
Subject: Re: Python: An Illustration That Sticks With Me
Reminds me of when programming on a commodore 64 back in 80s, where we used
something like poke to store/set a variable value, and peek to then
retrieve/read it:
http://en.wikipedia.org/wiki/PEEK_and_POKE
Stay well
Jacob Kruger
Blind Biker
Skype: BlindZA
'...fate had broken his body, but not his spirit...'
----- Original Message -----
From: Homme, James <mailto:james.homme@xxxxxxxxxxxx>
To: programmingblind@xxxxxxxxxxxxx
Sent: Friday, October 29, 2010 9:47 PM
Subject: Python: An Illustration That Sticks With Me
Hi,
I don't know why, but I feel like posting this. It illustrates how
non-technical I can be sometimes, but also makes me proud that I finally
understand this concept, and it's all because of this silly bunch of text
interspersed with some Python code similar to something from another book
that I was trying to understand. This is from Python Programming For The
Absolute Beginner (2003), Chapter 5.
Understanding Shared References
In Chapter 2, you learned that a variable - refers to a value. This means
that, technically, a variable doesn't store a
copy of a value, but just refers to the place in your computer's memory
where
the value is stored. For example, language = "Python" stores the string
"Python" in your computer's memory somewhere and then creates the variable
language, which refers to that place in memory. Take a look at Figure 5.8
for
a visual representation.
Figure 5.8: The variable language refers to a place in memory where the
string
value "Python" is stored.
To say the variable language stores the string "Python", like a piece of
Tupperware stores a chicken leg, is not accurate. In some programming
languages, this might be a good analogy, but not in Python. A better way to
think about it is like this: A variable refers to a value the same way a
person's name refers to a person. It would be wrong (and silly) to say that
a
person's name "stores" the person. Using a person's name, you can get to a
person. Using a variable name, you can get to a value.
So what does all this mean? Well, for immutable values that you've been
using,
like numbers, strings, and tuples, it doesn't mean much. But it does mean
something for mutable values, like lists. When several variables refer to
the
same mutable value, they share the same reference. They all refer to the
one,
single copy of that value. And a change to the value through one of the
variables results in a change for all the variables, since there is only
one,
shared copy to begin with.
Here's an example to show how this works. Suppose that I'm throwing a hip,
happening party with my friends and dignitaries from around the world. (Hey,
this is my book. I can make up any example I want.) Different people at the
party call me by different names, even though I'm only one person. Let's say
that a friend calls me "Mike," a dignitary calls me "Mr. Dawson," and my
Pulitzer Prize winning, supermodel girlfriend, just back from her literacy,
fundraising world-tour (again, my book, my fictional girlfriend) calls me
"Honey." So, all three people refer to me with different names. This is the
same way that three variables could all refer to the same list. Here's the
beginning of an interactive session to show you what I mean:
>>> mike = ["khakis", "dress shirt", "jacket"]
>>> mr_dawson = mike
>>> honey = mike
>>> print mike
['khakis', 'dress shirt', 'jacket']
>>> print mr_dawson
['khakis', 'dress shirt', 'jacket']
>>> print honey
['khakis', 'dress shirt', 'jacket']
So, all three variables, mike, mr_dawson, and honey, refer to the same,
single
list, representing me (or at least what I'm wearing at this party). Figure
5.9
helps drive this idea home.
Figure 5.9: The variables mike, mr_dawson, and honey all refer to the same
list.
This means that a change to the list using any of these three variables will
change the list they all refer to. Back at the party, let's say that my
girlfriend gets my attention by calling "Honey." She asks me to change my
jacket for a red sweater she knitted (yes, she knits too). I, of course, do
what she asks. In my interactive session, this could be expressed as
follows:
>>> honey[2] = "red sweater"
>>> print honey
['khakis', 'dress shirt', 'red sweater']
The results are what you would expect. The element in position number 2 of
the
list referred to by honey is no longer "jacket", but is now "red sweater".
Now, at the party, if a friend were to get my attention by calling "Mike" or
a
dignitary were to call me over with "Mr. Dawson," both would see me in my
red
sweater, even though neither had anything to do with me changing my clothes.
The same is true in Python. Even though I changed the value of the element
in
position number 2 by using the variable honey, that change is reflected by
any
variable that refers to this list. So, to continue my interactive session:
>>> print mike
['khakis', 'dress shirt', 'red sweater']
>>> print mr_dawson
['khakis', 'dress shirt', 'red sweater']
The element in position number 2 of the list referred to by mike and
mr_dawson
is "red sweater". It has to be since there's only one list.
So, the moral of this story is: be aware of shared references when using
mutable values. If you change the value through one variable, it will be
changed for all.
However, you can avoid this effect if you make a copy of a list, through
slicing. For example:
>>> mike = ["khakis", "dress shirt", "jacket"]
>>> honey = mike[:]
>>> honey[2] = "red sweater"
>>> print honey
['khakis', 'dress shirt', 'red sweater']
>>> print mike
['khakis', 'dress shirt', 'jacket']
Here, honey is assigned a copy of mike. honey does not refer to the same
list.
Instead, it refers to a copy. So, a change to honey has no effect on mike.
It's like I've been cloned. Now, my girlfriend is dressing my clone in a red
sweater, while the original me is still in a jacket. Okay, this party is
getting pretty weird with my clone walking around in a red sweater that my
fictional girlfriend knitted for me, so I think it's time to end this
bizarre
yet useful analogy.
One last thing to remember is that sometimes you'll want this
shared-reference
effect, while other times you won't. Now that you understand how it works,
you
can control it.
Jim
Jim Homme,
Usability Services,
Phone: 412-544-1810. Skype: jim.homme
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