Re: [Tutor] Python 3.6.5 for MAC

[Alan Gauld via Tutor]

On 24/04/18 03:34, Kentaro Hori wrote:
> Hi
> 
> can you take a screenshot after rebooting and trying one aging?

Although you will need to post a link to the image since the
list server will not send binary attachments.

-- 
Alan G
Author of the Learn to Program web site
http://www.alan-g.me.uk/
http://www.amazon.com/author/alan_gauld
Follow my photo-blog on Flickr at:
http://www.flickr.com/photos/alangauldphotos


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[Tutor] Python Debugger shortcut to go to the last frame

[AS via Tutor]

Hi 

Please consider the following script:

#!/usr/bin/env python3.6
#pdb_last_frame.py

import pdb

def recursive_function(n=5, output='default print'):
    if n > 0:
    recursive_function(n - 1)
    else:
    pdb.set_trace()
    print(output)
    return

if __name__ == '__main__':
    recursive_function("space ham")

For instance we run it as
python3.6 -m pdb pdb_last_frame.py

The following command sequence applied once the script stopped on bp:
u
u

The question is there any command to go directly to the last frame instead of 
typing d d ?

Thank you in advance.
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[Tutor] threading for each line in a large file, and doing it right

[Evuraan]

Greetings!

Please consider this situation :
Each line in "massive_input.txt" need to be churned by the
"time_intensive_stuff" function, so I am trying to background it.

import threading

def time_intensive_stuff(arg):
   # some code, some_conditional
   return (some_conditional)

with open("massive_input.txt") as fobj:
   for i in fobj:
  thread_thingy = thread.Threading(target=time_intensive_stuff, args=(i,) )
  thread_thingy.start()


With above code, it still does not feel like it is backgrounding at
scale,  I am sure there is a better pythonic way.

How do I achieve something like this bash snippet below in python:

time_intensive_stuff_in_bash(){
   # some code
  :
}

for i in $(< massive_input.file); do
time_intensive_stuff_in_bash i & disown
:
done

 Many thanks in advance,

Thanks!
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Re: [Tutor] threading for each line in a large file, and doing it right

[Danny Yoo]

> Please consider this situation :
> Each line in "massive_input.txt" need to be churned by the
> "time_intensive_stuff" function, so I am trying to background it.
>
> import threading
>
> def time_intensive_stuff(arg):
># some code, some_conditional
>return (some_conditional)
>
> with open("massive_input.txt") as fobj:
>for i in fobj:
>   thread_thingy = thread.Threading(target=time_intensive_stuff, args=(i,) 
> )
>   thread_thingy.start()
>
>
> With above code, it still does not feel like it is backgrounding at
> scale,  I am sure there is a better pythonic way.


You might be looking for the multiprocessing library:
https://docs.python.org/3.6/library/multiprocessing.html.

Can you say more about the nature of the "time_intensive_stuff" part
though?  More context may help.
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