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[ankitbko]

diff --git a/_posts/2021-04-15-logging-in-python.md b/_posts/2021-04-15-logging-in-python.md
index 461e86d..55e0dd5 100644
--- a/_posts/2021-04-15-logging-in-python.md
+++ b/_posts/2021-04-15-logging-in-python.md
@@ -31,7 +31,7 @@ def sum(a, b=10):
 ('a', 'b')

-Since functions behave like any other object, you could assign sum to another function. Then calling sum will call this another function instead of the one that we defined before. The decorators utilizes this behavior by assigning sum a new function which takes sum as parameter and wraps some additional logic around it thereby extending it without modifying the function itself. +Since functions behave like any other object, you could assign sum to another function. Then calling sum will call this other function instead of the one that we defined before. The decorators utilizes this behavior by assigning sum a new function which takes sum as parameter and wraps some additional logic around it thereby extending it without modifying the function itself.

@@ -99,7 +99,7 @@ Traceback (most recent call last):
 Exception: Something went wrong

-In addition to setting up the logger, we have also used @functools.wraps decorator. The wraps decorator updates the wrapper function to look like func. Our @log decorator can now be used on any function to catch every exception from wrapped function and log it in consistent manner. +In addition to setting up the logger, we have also used @functools.wraps decorator. The wraps decorator updates the wrapper function to look like func. Our @log decorator can now be used on any function to catch every exception from wrapped function and log it in a consistent manner.

Since wrapper function accepts all arguments (*args and **kwargs), the @log decorator can be extended to capture all the parameters passed to the decorated function. We can do this by just iterating over args and kwargs and joining them to form string message to log. @@ -135,7 +135,7 @@ This basic logging decorator looks good and already does what we originally set However in real projects, the logger can itself be abstracted away into its own class that initializes a logger based on certain configuration (such as push log to a cloud sink). In this case its useless to log into console by creating our own logger in the @log decorator. We need a way to pass an existing logger into our decorator at runtime. To do this we can extend the @log decorator to accept logger as an argument.

-To mimic this scenario we will start with having a class that returns us creates logger for us. For now we will create the basic logger but you can imagine the class configuring the behavior of the logger as required. +To mimic this scenario we will start with having a class that creates a creates logger for us. For now we will create the basic logger but you can imagine the class configuring the behavior of the logger as required.

 class MyLogger:

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