* Adding variable to fade out ambiguity
* More readability on merge sorting algorithm
* Updating merge_sort_fastest description and explaining why
* Adding tests file with imports
* Standardazing filenames and function names
* Adding test cases and test functions
* Adding test loop
* Putting 'user oriented code' inside main condition for having valid imports
* Fixing condition
* Updating tests: adding cases and todo list
* Refactoring first euler problem's first solution
Python implementation of merge sort algorithm.
Takes an average of 0.6 microseconds to sort a list of length 1000 items.
Best Case Scenario : O(n)
Worst Case Scenario : O(n)
