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python-sqlparse — python-sqlparse 0.5.1.dev0 documentation
python-sqlparse¶ sqlparse is a non-validating SQL parser for Python. It provides support for parsing, splitting and formatting SQL statements. The module is compatible with Python 3.8+ and released under the terms of the New BSD license. Visit the project page at https://github.com/andialbrecht/sqlparse for further information about this project. Quick Start¶ >>> import sqlparse >>> # Split a stri
pyparsing
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spaCy - Industrial-strength Natural Language Processing in Python
Get things done spaCy is designed to help you do real work — to build real products, or gather real insights. The library respects your time, and tries to avoid wasting it. It's easy to install, and its API is simple and productive. Blazing fast spaCy excels at large-scale information extraction tasks. It's written from the ground up in carefully memory-managed Cython. If your application needs to
Wise.io – Machine Learning for the Industrial Internet of Things
Machine Learning for the Industrial Internet of Things Minds+Machines is the premier Industrial Internet event featuring keynotes from industry luminaries, insightful forums, and hands-on demos. Wise.io hosted its first Industrial Machine Learning Workshop (IMLW17) on October 24, 2017. View our presenters. Our flagship product, Wise Support, is now part of AnswerIQ! Wise.io is a well-resourced, r
Welcome to Click — Click Documentation (8.1.x)
Welcome to Click¶ Click is a Python package for creating beautiful command line interfaces in a composable way with as little code as necessary. It’s the “Command Line Interface Creation Kit”. It’s highly configurable but comes with sensible defaults out of the box. It aims to make the process of writing command line tools quick and fun while also preventing any frustration caused by the inability
mitghi/cyjson · GitHub
Fast and efficient JSON Parser for Python. This is a wrapper class written in Cython. The Underlaying library is cJSON by Dave Gamble written in C. import cyj parser = cyj.cyj() #loading data into cyjson and parsing it internally #returns True on success and False on failure parser << '{"ab":"test","c":[1,2,{"x":["y","f","w",[6,7,8,10]]},4],"s":{"y":["llüöll",1,false,true]}}' #information such as
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