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Writing unorganised code for something to work is an easy task, just put anything anywhere and see if the result is coming or not. If the result comes out in first attempt then you are really lucky but normal people like me are not. Then what we should do to check where the problem is occuring, we put some print statements (or console.log) to check the result in various places and observe where the output is deviating from its path. Well, it itself is a good practise of debugging the code but it does not work always especially not with large projects. So what should we do then ? According to me, we should give debugger a chance to find the bugs in our program. Debugging is an important part of writing programs because it teaches you to write unit tests for the parts of the program where it can fail. To perform debugging, we need a debugger and thankfully we have one, gdb (GNU debugger). In this article we will start by seeing some basic debugging techniques which involves logging the

If you have ever wondered what those @something mean above a python function or method then you are going to have your answers now. This @something line of code is actually called a decorator. I have red from various articles about them but some of them were not able to clarify the concept of a decorator and what we can achieve with them. So in this post we'll learn a lot about python decorators. Here is a list of topics we'll be covering. What is python decorator Understanding the concept Multiple decorators on same function class method decorator Where can we use decorators What is python decorator A python decorator is nothing but a function which accepts your given function as a parameter and returns a replacement function. So its like something this def decorator(your_func): def replacement(your_func_args): #do some other work return replacement @decorator your_func(your_func_args): #your_func code Now when your_func gets called then