Is there any way to run multiple .py files that are located in the same directory in terminal?
Example:
Let's say I have three .py files
x.py
y.py
z.py
I have saved these files in the directory abc
In terminal, I would execute x.py as so
python ~/abc/x.py
And would have to repeat that to run y.py and z.py
Is there any way to run all three scripts at the same time ? Or some shortcut? Save time than running multiple terminal windows open ?
Thanks
Assuming bash:
for i in x y z; do python ~/abc/$i.py & done
This loop iterates over the strings "x", "y" and "z". each iteration the variable $i is another one of them. So in the first iteration, $i is x, so ~/abc/$i.py is ~/abc/x.py. The second iteration is the same, only with y, and in the third $i is x.
So bash actually do
python ~/abc/x.py &
python ~/abc/y.py &
python ~/abc/z.py &
Which is what you asked for.
The & makes it run in the background. You can do this for any command you invoke.
I have often used something like (in bash)
for file in $( ls *.py )
do
python $file
done
I use thos when I have many python-files and want to run all of them.
for file in ~/abc/*.py ; do python $i ; done
file to i, so for i in $(ls *.py)Since others have given you shell solutions, let me propose a pythonic one:
from multiprocessing import Process
import x
import y
import z
# Assuming you have a main function f in each module
p1 = Process(target=x.f, args = (1,)) # or whatever args
p1.start()
p2 = Process(target=y.f, args = (2,))
p2.start()
p3 = Process(target=z.f, args = (3,))
p3.start()
This is Python 3.3 code, you might have to do it a little differently in Python 2.7.
For example, if x.f, y.f and z.f are all defined
def f(x):
print(x)
then the code above will output:
1
2
3
probably, but not necessarily, in that order.
bash file
ls *.py | xargs -I{} sh -c "echo {}; python {}"
you can get all .py file in current directory with command ls *.py
and use xargs -I to execute from standard input
run all .py in directory in sh -c with command python {}
automatically replace {} with .py files
