Python Profilers

Code optimization is one of the obstacles that every developer now a days come across. There are lot of tools present now a days to optimize code. You can find python builtin or 3rd party modules for code optimization. Below I have mentioned a few codes optimization tools that I have used.

Builtin Modules

• Profile

  
  
  How To :  First of all import profile into you python code. Then at the main method use the profile.run() method. On executing the py file we will provide the profiler output. An example code is shown below:
  
  

   
  import profile
  
  
  def add(first, second):
      return first + second
  
  
  profile.run(' print add(1,2); print ')
  
  
  

        Profile module also provides runtx( ) for custom profiler generation.
  

• cProfile

  
  
  How To :This module can be used in two ways. One is to import the module and call it as cProfile.run( <your method> )Second is to call the cProfile module at the time of file execution.
  
  

    
     python -m cProfile pythonfile.py
  
  

• pstat

  
  
  How To: Standard report produced by the profile module is not very flexible. So depending upon the need the user can save the output of the run() or runtx() and process it using the Stats class from pstat.

Third Party Modules

• Line Profiler

  
         How To :  First of all install line profile using the following command.
  

   
     pip install line_profiler
  
  

  Then add the @profile above your method definition. Finally execute the code using the following command.

  
    $ kernprof.py -l -v fib.py