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Source channel @githubtrending · Post #15078 · Aug 20
#vue#canvas_editor#design#design_editor#editor#fabricjs#image_editor#poster#svg_editor#vue_fabric You can use a powerful open-source image editor built with fabric.js and Vue that lets you easily design images by dragging and dropping. It supports many features like importing PSD and JSON files, exporting PNG and SVG, layers, gradients, custom fonts, cropping, filters, and more. You can customize fonts, templates, right-click menus, and shortcuts, and extend it with plugins. This editor is lightweight and simple to use, making it great for quick image editing without complex tools. It also offers a paid version with full backend support and batch image generation, helping you save time and reduce development effort. https://github.com/ikuaitu/vue-fabric-editor
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.