#Deskreen#第二屏#屏幕共享#WebRTC#开源工具 🖥️Deskreen｜把任何设备变成电脑的第二块屏幕 Deskreen 是一款开源桌面工具，可将手机、平板、笔记本、电视等任何带浏览器的设备，作为电脑的第二屏或镜像屏使用。无需在接收端安装 App，只要浏览器即可连接。 支持 Windows、macOS、Linux，通过本地局域网工作，适合临时扩展屏、展示信息或多设备查看内容的场景。 主要特点 支持整屏或单个应用窗口投屏 通过浏览器访问，无需客户端 基于 WebRTC，低延迟传输 可同时连接多个设备 支持画面翻转，适合提词器或演示 局域网使用，不依赖公网 开源项目，社区活跃，Star 数较高，认可度稳定 适用场景 平板当副屏使用 手机作为监控/状态显示屏 会议或演示投屏 提词器、直播辅助屏 临时扩展显示空间 Deskreen 采用 AGPL-3.0 开源协议，定位清晰，功能专注，是“浏览器即屏幕”这一思路下非常成熟的一款工具。 🔘@TossLab🔘@TossLabChannel
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@djangoproject · Post #316 · 2017/04/28 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'.
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@djangoproject · Post #129 · 2016/08/31 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.