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Изворен канал @pythonotes · Post #256 · 18 јун.

Модуль ensurepip, стал стандартным начиная с версии 3.4 и портирован в 2.7 Это встроенная альтернатива файлу get-pip.py. Модуль позволяет установить или обновить pip. 🔸Установка pip: python -m ensurepip 🔸Обновление до актуальной версии python -m ensurepip --upgrade 🔸Установка в директорию юзера, если вас не устраивает системный или просто нет доступа для обновления (когда не используем venv, то есть ставим глобально) python -m ensurepip --user #libs#basic

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djangoproject

@djangoproject · Post #316 · 28.04.2017 г., 06:09

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 · 31.08.2016 г., 15:36

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.