20 Python Libraries You Aren't Using (but Should) Twenty Python Libraries You Aren't Using (but Should)

The Python ecosystem is vast and far-reaching in both scope and depth. Starting out in this crazy, open-source forest is daunting, and even with years of experience, it still requires continual effort to keep up-to-date with the best libraries and techniques. This report helps you explore some of the lesser known Python libraries and tools, including third-party modules and several extremely useful tools in the standard library that deserve more attention. What makes this collection different from other lists online? Author Caleb Hattingh diligently spent time finding and testing hidden gems that fit several criteria: easy to install and use, cross-platform, applicable to more than one domain, and not yet popular but likely to become so soon. You will likely discover at least a couple of cool libraries that will assist you in your everyday Python activities, no matter your specialization. This report examines: * Little-known standard library modules: __collections__, __contextlib__, __concurrent.futures__, __logging__, and __sched__ * __Flit__ for simplifying the process of submitting a Python package to the Python Package Index (PyPI) * __Colorama__ and __begins__ for making your command-line applications friendlier for users * __Pyqtgraph__ and __pywebview__ for creating graphical user interfaces (GUIs) * __Watchdog__, __psutil__, and __ptpython__ for working closely with the operating system * __Hug__ for exposing APIs for other users' programs to consume * __Arrow__ and __parsedatetime__ for working with dates and times * Third-party general-purpose libraries: __Boltons__, __Cython__, and the __awesome-python__ curated list