sirivella madhu
This blog is to expose my self and To my thoughts and experience.
Friday, 18 May 2018
Sunday, 13 May 2018
working on kaggle @TensorFlow Speech Recognition Challenge
Kaggle is the best place for machine learning ,data science and ai beginners to experts.
its really a cool place to learn and improve skills with others ..lot of people collaboratively working on real world problems.
Check out the link for tensorflow-speech-recognition-challenge
its really a cool place to learn and improve skills with others ..lot of people collaboratively working on real world problems.
Check out the link for tensorflow-speech-recognition-challenge
Monday, 5 March 2018
python if __name__ = '__main__':
The global variable,What does the
if __name__ == "__main__":
do?
__name__
, in the module that is the entry point to your program, is '__main__'
. So, code in this
if
block will only run if that module is the entry point to your program.Why do we need this?
Developing and Testing Your Code
Say you're writing a Python script designed to be used as a module:def do_important():
"""This function does something very important"""
You could test the module by adding this call of the function to the bottom:do_important()
and running it (on a command prompt) with something like:~$ python important.py
The Problem
However, if you want to import the module to another script:import important
On import, the do_important
function would be called, so
you'd probably comment out your call of the function at the bottom. And
then you'll have to remember whether or not you've commented out your
test function call. And this extra complexity would mean you're likely
to forget, making your development process more troublesome.A Better Way
The__name__
variable points to the namespace wherever
the Python interpreter happens to be at the moment. Inside an imported
module, it's the name of that module. But inside the primary module (or
an interactive Python session, i.e. the interpreter's Read, Eval, Print
Loop, or REPL) you are running everything from its "__main__"
.So if you check before executing:
if __name__ == "__main__":
do_important()
With the above, your code will only execute when you're running it as
the primary module (or intentionally call it from another script). An Even Better Way
There's a Pythonic way to improve on this, though.What if we want to run this business process from outside the module? If we put the code we want to exercise as we develop and test in a function like this and then do our check for
'__main__'
immediately after:def main():
"""business logic for when running this module as the primary one!"""
setup()
foo = do_important()
bar = do_even_more_important(foo)
for baz in bar:
do_super_important(baz)
teardown()
# Here's our payoff idiom!
if __name__ == '__main__':
main()
We now have a final function for the end of our module that will run
if we run the module as the primary module. It will allow the module and
its functions and classes to be imported into other scripts without
running the main
function, and will also allow the module (and its functions and classes) to be called when running from a different '__main__'
module, i.e.import important
important.main()
This idiom can also be found in the Python documentation in an explanation of the __main__
module. That text states:This module represents the (otherwise anonymous) scope in which the interpreter’s main program executes — commands read either from standard input, from a script file, or from an interactive prompt. It is this environment in which the idiomatic “conditional script” stanza causes a script to run:
if __name__ == '__main__': main()
Thursday, 8 February 2018
Minergate signup
Get the most profit of your computer and smartphone. Automine coins with highest exchange rate.
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Wednesday, 31 January 2018
Monday, 1 January 2018
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