Commitment In My Point Of View

Being committed for me is all about following the rules and not trying to break any during the period I'm at that place or doing that thing. Showing up early, preserving energy for that commitment, doing everything I can to prove that I'm fully committed and what I do is important are all aspects of what makes me committed/serious in the eyes of other people. I try my best to always act professionally and I think I'm doing that most of the times, but I hope I can be better than that.

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Stack vs. Queue

Stack is like a pile of books placed on top of each other. We can add new books to the top and can remove them from only the top because stacks are LIFO which means last-in, first-out. Queues on the other hand are the opposite, which is FIFO meaning first-in, first-out. So adding an element to the queue will be the same but removing will happen to the first element not the last one. An example of a queue would be the wait line in front of any kind of service we see around us like the bus station or the shops,....etc.

Big O Notation

Big O Notation is a mathematical expression that describes how much time an algorithm takes to run according to the size of it's inputs; mostly concerned about the worst case scenario. Types: 1- Constant Time O(1): On this order, regardless of the number of items, the iterations(time) are constant. Example: const getFirstItem = items => items[0]; getFirstITem([1, 2, 3, 4]); // 1 (one iteration) getFirstItem(['b', 'd', 'g']); // 'b' (one iteration) 2- Linear Time O(n): On this order, the worst case grows with the number of items. Example: Javascript's built in function indexOf, it loops over an array to find the correct index of the passed element. The worst case is looping over the whole array. [1, 2, 4, 9, 23, 12].indexOf(12); 3- Quadratic Time O(n ^ 2): For this order, the worst case time is the square of the number of inputs. It grows exponentially according to the number of inputs. Example: Using nested loo...

Middlewares

Middlewares in Javascript are functions that come in the middle of the request-response cycle. They have access to both the request and the response object as well as the next middleware function to be executed; usually called next(). Popular examples on middleware include: body-parser, cors, session, cookie-seesion and cookie-parser.

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