Django continues to be the pick of libraries for Python developers. However, there are some not-so-well-known libraries that happened to gain traction among Python developers in 2016. In this blog, I am unveiling 7 Python libraries, excluding the established ones like Django, Flask, etc, that Python developers may find worth considering in 2017.7 Less-Known-Yet-Helpful Python Libraries for 2017#1 ArrowMobile apps are everywhere, and are often meant for global population - be it for games, social media, health monitoring and whatnot. However, the problem with the standard data/time library for Python is that it doesn’t meet the requirements of modern apps that have their target audience living in different regions and countries. Arrow is one of the libraries to battle with this problem. It comes packed with features that simplify creation, formatting, manipulation and conversion of data, time and time stamps.The library replaces the need for datetime type that supports Python 2...
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