n4s was written and designed by Mike Afshari
This package was originally written for my own personal use, but it soon became popular among the new developers I was mentoring online.
Python's ability to abstract common tasks is precisely what draws the attention of so many new programmers –
that and all the numerical gymnastics data scientists use pandas for – making a library like this perfectly suitable
for developers of all levels.
I wanted to write something that was easy enough for new developers to understand, but complex enough to be suitable
for more experienced programmers to use in their own projects. Being a software engineer is just as much about what
you code as it is about how you code - both requiring the pillars of compatibility, readability and sustainability.
While I don't think that this library is a replacement for using vanilla Python, it is more akin to Harvard University's CS50 library,
in that it abstracts code functionality in effort to maximize the aforementioned pillars within a collaborative work environment.
Programming shouldn't be tedious. If it is, you're probably not doing it right — or you're a Java developer
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