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20 Python Libraries You Aren't Using (But Should)
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  • Title 20 Python Libraries You Aren't Using (But Should)
  • Author(s) Caleb Hattingh
  • Publisher: O'Reilly Media, Inc. (2016)
  • Hardcover/Paperback N/A
  • eBook PDF, ePub, and Mobi (Kindle)
  • Language: English
  • ISBN-10: N/A
  • ISBN-13: 978-1491967928
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Book Description

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.

  • 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
About the Authors
  • Caleb Hattingh is passionate about coding and has been programming for over 15 years, specialising in Python. He holds a Masters degree in Chemical Engineering and consequently has written a great deal of scientific software within chemical engineering, from dynamic chemical reactor models all the way through to data analysis. He is very experienced with the Python scientific software stack, CRM , financial software development in the hotels and hospitality industry, front-end web experience using HTML, Sass, Javascript (loves RactiveJS) and back-end experience with Django and web2py.

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