A beginner's question on python class

[Yiou Li]

Hi All,

I created a python class by inherating from and existing class:

myPythonScript.py

from standardClass import ClassX

Class myClass(ClassX)
         myVariable
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[Shannon -jj Behrens]

On Sun, Feb 19, 2012 at 6:57 PM, Yiou Li <[hidden email]> wrote:

Hi All,

I created a python class by inherating from and existing class:

myPythonScript.py

from standardClass import ClassX

Class myClass(ClassX)
        myVariable

What's your question?  By the way, class should be lower case, and you're forgetting a semicolon.

You might be better off buying a book on Python or reading a tutorial.  That way, you can ask us the really hard questions ;)

Happy Hacking!

-jj

--
In this life we cannot do great things. We can only do small things with great love. -- Mother Teresa

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[Aahz]

On Sun, Feb 19, 2012, Shannon -jj Behrens wrote:

> On Sun, Feb 19, 2012 at 6:57 PM, Yiou Li <[hidden email]> wrote:
>>
>> I created a python class by inherating from and existing class:
>>
>> myPythonScript.py
>>
>> from standardClass import ClassX
>>
>> Class myClass(ClassX)
>>         myVariable
>
> What's your question?  By the way, class should be lower case, and you're
> forgetting a semicolon.

s/semicolon/colon/

Also, OP should read PEP 8 to learn about proper formatting: the One True
indent is four spaces.
http://www.python.org/dev/peps/pep-0008/
--
Aahz ([hidden email])           <*>         http://www.pythoncraft.com/

"Do not taunt happy fun for loops. Do not change lists you are looping over."
--Remco Gerlich
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[Glen Jarvis]

On Sun, Feb 19, 2012 at 6:57 PM, Yiou Li <[hidden email]> wrote:

Hi All,

I created a python class by inherating from and existing class:

myPythonScript.py

from standardClass import ClassX

Class myClass(ClassX)
        myVariable

What's your question?  By the way, class should be lower case, and you're forgetting a semicolon.

Let me also add: 

I think JJ means that you forgot to put the colon (not semicolon) at the end of your class definition syntax. 

Here is a sample of code that demonstrates. Try this:

class ClassX(object):

    pass

class MyClass(ClassX):

    my_variable = "Some Content"

my_class = MyClass()

print my_class.my_variable

There are some great books and tutorials that help teach you to use Python...

G

--
Things which matter most must never be at the mercy of things which matter least.

-- Goethe

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[Yiou Li]

Thanks for the reply to my "imcompleted" question.

Actually my question was:

I created a python class by inheriting from and existing class and use
this new class in my main script as below:

My question is, since I import a function "sample" from the library
"random" in myClass, do I have to import "sample" in my main script as
well?

--- I did a debugging experiment using the following code to see that
the library "random" was imported at myClassInstance.myFunction(),
therefore, the answer to my question is -- I don't have to import the
"random" library in the main script. And the import statement is just
like a #include statement in C.

Please correct me if I am wrong.

Best and thanks to your replies!!
Leo


myClassScript.py
_________________________________
from random import sample

class myClass():
        myVariable = 1
        def myFunction():
             index = sample(...)
__________________________________

myMainScript.py
__________________________________

from myClassScript import myClass

def main():
     myClassInstance = myClass()

     myClassInstance.myFunction()


if __name__ == '__main__':
     main()

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[Shannon -jj Behrens]

s/semicolon/colon/

D'oh!

-jj

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[Shannon -jj Behrens]

 * When you write "self.foo", Python will look for foo in the instance and in the class hierarchy.

 * When you write "foo", Python will look for local variables, lexically scoped variables (i.e. variables in outer functions), global variables, and finally builtins.

 * If you use a class, function, etc. from library A, it's up to library A to import all the things it needs.

 * Each file is implicitly a module with its own namespace.  This isn't the case in other languages like Ruby.

Best Regards,

-jj

On Mon, Feb 20, 2012 at 2:02 PM, Yiou Li <[hidden email]> wrote:

Thanks for the reply to my "imcompleted" question.

Actually my question was:

I created a python class by inheriting from and existing class and use
this new class in my main script as below:

My question is, since I import a function "sample" from the library
"random" in myClass, do I have to import "sample" in my main script as
well?

--- I did a debugging experiment using the following code to see that
the library "random" was imported at myClassInstance.myFunction(),
therefore, the answer to my question is -- I don't have to import the
"random" library in the main script. And the import statement is just
like a #include statement in C.

Please correct me if I am wrong.

Best and thanks to your replies!!
Leo


myClassScript.py
_________________________________
from random import sample

class myClass():
        myVariable = 1
       def myFunction():
            index = sample(...)
__________________________________

myMainScript.py
__________________________________

from myClassScript import myClass

def main():
    myClassInstance = myClass()

    myClassInstance.myFunction()


if __name__ == '__main__':
    main()

____________________________________

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[Lincoln Peters-3]

On Mon, Feb 20, 2012 at 2:02 PM, Yiou Li <[hidden email]> wrote:
> My question is, since I import a function "sample" from the library
> "random" in myClass, do I have to import "sample" in my main script as
> well?
>
> --- I did a debugging experiment using the following code to see that
> the library "random" was imported at myClassInstance.myFunction(),
> therefore, the answer to my question is -- I don't have to import the
> "random" library in the main script. And the import statement is just
> like a #include statement in C.

Short answer: yes, you have to import random even if another module
you imported already imports random.

Long answer: "import" is similar to "#include", but not identical.  In
general, each .py or .pyc file represents a module, and each import
statement makes the contents of one module available from within the
importing module.  However, unlike #include, the import command
doesn't add the contents of the other module to the importing module's
namespace, but rather creates a reference to it that behaves similarly
to a C++ namespace (e.g. import random; random.shuffle(...)).  One
consequence of this is that if you want to import modules A and B, and
module B already imports module A, you need to either explicitly
import both modules, or you have to refer to module B to get to module
A (i.e. B.A.function instead of A.function).  Most of the time,
importing both modules is the preferred solution.

Note that importing a module multiple times will NOT cause multiple
copies of it to be made in memory; the Python interpreter is smart
enough to recognize that a module has already been imported and will
just create a new reference to it.

Disclaimer: this is a highly simplified explanation, and omits several
nuances of how importing works in Python.  For 99% of Python
development, however, you don't need to worry about those nuances.


Hope this helps.


--
Lincoln Peters
<[hidden email]>
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[Yiou Li]

Thanks to all for your replies!

Leo

On Mon, Feb 20, 2012 at 3:45 PM, Lincoln Peters <[hidden email]> wrote:

> On Mon, Feb 20, 2012 at 2:02 PM, Yiou Li <[hidden email]> wrote:
>> My question is, since I import a function "sample" from the library
>> "random" in myClass, do I have to import "sample" in my main script as
>> well?
>>
>> --- I did a debugging experiment using the following code to see that
>> the library "random" was imported at myClassInstance.myFunction(),
>> therefore, the answer to my question is -- I don't have to import the
>> "random" library in the main script. And the import statement is just
>> like a #include statement in C.
>
> Short answer: yes, you have to import random even if another module
> you imported already imports random.
>
> Long answer: "import" is similar to "#include", but not identical.  In
> general, each .py or .pyc file represents a module, and each import
> statement makes the contents of one module available from within the
> importing module.  However, unlike #include, the import command
> doesn't add the contents of the other module to the importing module's
> namespace, but rather creates a reference to it that behaves similarly
> to a C++ namespace (e.g. import random; random.shuffle(...)).  One
> consequence of this is that if you want to import modules A and B, and
> module B already imports module A, you need to either explicitly
> import both modules, or you have to refer to module B to get to module
> A (i.e. B.A.function instead of A.function).  Most of the time,
> importing both modules is the preferred solution.
>
> Note that importing a module multiple times will NOT cause multiple
> copies of it to be made in memory; the Python interpreter is smart
> enough to recognize that a module has already been imported and will
> just create a new reference to it.
>
> Disclaimer: this is a highly simplified explanation, and omits several
> nuances of how importing works in Python.  For 99% of Python
> development, however, you don't need to worry about those nuances.
>
>
> Hope this helps.
>
>
> --
> Lincoln Peters
> <[hidden email]>
> _______________________________________________
> Baypiggies mailing list
> [hidden email]
> To change your subscription options or unsubscribe:
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