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Source channel @githubtrending · Post #15374 · Dec 28
#shell#analyzer#appcleaner#clean#cleaner#cleaner_cli#cleaner_script#command_line#daisydisk#istat#mac#macos#optimize#sensei#shell#uninstall Mole is a free, open-source terminal tool that deeply cleans and optimizes your Mac by removing caches, logs, browser junk, and app leftovers—freeing up gigabytes like 95GB in one go. It smartly uninstalls apps with all hidden files, analyzes disk space visually, monitors CPU/memory live, and rebuilds caches for better speed. Install easily via curl or Homebrew, preview changes safely, and use Touch ID. This saves you money on paid cleaners, reclaims storage fast, boosts performance, and diagnoses issues simply from your terminal. https://github.com/tw93/Mole
Search: #array
@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'.
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@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.