TOP 7 Reasons Why A Developer Can Kiss His Productivity Goodbye
The company employers and management are constantly trying to find ways of improving the developers' productivity. at the same time they are failing to recognize and get rid of things that are actually destroying any chances of having a productive team. We've conducted a list of TOP 7 Reasons Why A Developer Can Kiss His Productivity Goodbye. Check it out and tell us what you think!
Challenge yourself with our latest missions:
The first mission was created by kurosawa4434 and is called the "River Crossing", where your task is to calculate the minimum number of boat crossings required to carry all the loads given as four integers.
river_crossing(1, 1, 1, 1) == 7 # original river_crossing(1, 1, 1, 2) == 3 # payload +1 river_crossing(2, 1, 1, 2) == 5 # payload +1, wolf +1 river_crossing(1, 2, 1, 1) is None # impossible
The second is the "Replace First" mission and here you need to replace the last element with the first one.
replace_first([1, 2, 3, 4]) == [2, 3, 4, 1] replace_first() == 
The third is "Split List" and here your task is to split a given array into two arrays.
split_list([1, 2, 3, 4, 5, 6]) == [[1, 2, 3], [4, 5, 6]] split_list([1, 2, 3]) == [[1, 2], ]
The fourth mission is "Remove All After" where you have to remove all of the elements after the given one from list.
remove_all_after([1, 2, 3, 4, 5], 3) == [1, 2, 3] remove_all_after([1, 1, 2, 2, 3, 3], 2) == [1, 1, 2]
Highlights from the world of Python:
- You are obsessed with clean code? Your hand is twitching when you see code that in your mind must undergo refactoring? Then this "Goodbye, clean code" story is just for you!
- Find out why matplotlib is an essential part of the python data science stack and understand how to use it for your own visualizations and effective daily data analysis.
- An amazing feature that Python possesses is passing functions into other functions. Check out the possibilities that it provides, how yo can actually do it and a lot of clear examples. It's very useful for any Python coder!
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