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Source channel @githubtrending · Post #15290 · Nov 11

#python#hacktoberfest#hacktoberfest_accepted#hacktoberfest2021#pywhatkit PyWhatKit is a simple Python library that helps automate everyday tasks like sending WhatsApp messages, sharing images, playing YouTube videos, converting text to handwriting, and more. It works right away with no extra setup and supports the latest Python versions. With PyWhatKit, you can schedule messages, control your PC remotely, and even turn images into ASCII art. This saves time and makes it easy to handle routine jobs, making your daily workflow faster and more efficient. https://github.com/Ankit404butfound/PyWhatKit

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djangoproject

@djangoproject · Post #316 · 04/28/2017, 06:09 AM

https://github.com/blissnd/easyxls Convert any #spreadsheet into a Python internal #dict/#array data structure, for easy processing. Can also handle pivot tables. For pivot table usage, header_row_start & header_col_start need to be set equal to the top left corner of the pivot table => header_row_start=8, header_col_start='c' in the included example. Column IDs must always be lowercase chars in quotes, e.g. 'a'.

djangoproject

@djangoproject · Post #129 · 08/31/2016, 03:36 PM

https://pypi.python.org/pypi/numpy #NumPy is a general-purpose #array-processing package designed to efficiently manipulate large #multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional #arrays. NumPy is built on the #Numeric code base and adds features introduced by #numarray as well as an extended #C-API and the ability to create arrays of arbitrary type which also makes NumPy suitable for interfacing with general-purpose #data-base applications.