Used to find the function execution time
Project description
pyPerformanceTimer
-----------------------
Functionality Performance Timer
# Introduction
The `pyPerformanceTimer` is used to find the function execution time. So it will use which function takes more time when execute and helps to find out the performance issue. So this is beginning and the more updated coming soon.
# Installation
It's very simple install and use, I will show two types of installation manual and PIP installation.
__Manual Installation__
First you need to clone the package or download the latest release.
https://github.com/PraveenJP/pyPerformanceTimer.git
cd 'path to the package'
python setup.py sdist
python setup.py install
__PIP Installation__
pip install pref_timer
# Usage
It's very easy to use, Please follow the setps.
from pref_timer.timer import timer
@timer
def main():
for i in range(50000):
print ("Execution:", i)
if __name__ == '__main__':
main()
Finally run the python file.
# Result
The Result of the above simple loop method
Execution: 19998
Execution: 19999
main Taken: 0.3 Seconds
It shows the functionality name and time which is taken.
_If any suggestion or doubts please let me know via below email._
__Email:__ _praveen.josephmasilamani@outlook.com_
### Happy Coding. :)
-----------------------
Functionality Performance Timer
# Introduction
The `pyPerformanceTimer` is used to find the function execution time. So it will use which function takes more time when execute and helps to find out the performance issue. So this is beginning and the more updated coming soon.
# Installation
It's very simple install and use, I will show two types of installation manual and PIP installation.
__Manual Installation__
First you need to clone the package or download the latest release.
https://github.com/PraveenJP/pyPerformanceTimer.git
cd 'path to the package'
python setup.py sdist
python setup.py install
__PIP Installation__
pip install pref_timer
# Usage
It's very easy to use, Please follow the setps.
from pref_timer.timer import timer
@timer
def main():
for i in range(50000):
print ("Execution:", i)
if __name__ == '__main__':
main()
Finally run the python file.
# Result
The Result of the above simple loop method
Execution: 19998
Execution: 19999
main Taken: 0.3 Seconds
It shows the functionality name and time which is taken.
_If any suggestion or doubts please let me know via below email._
__Email:__ _praveen.josephmasilamani@outlook.com_
### Happy Coding. :)
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