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Source channel @githubtrending · Post #14784 · Jun 4
#vue#awesome#dashboard#docker#hacktoberfest#homelab#homepage#mit#nodejs#organization#productivity#pwa#self_hosted#startpage#vue Dashy is a free, open-source dashboard that lets you organize and access all your self-hosted services, apps, and web links from one central place, making it easy to manage and monitor everything you use regularly[1][2][4]. It comes with over 50 pre-built widgets for things like system monitoring, news, weather, and productivity, and you can customize the look and layout with themes, icons, and different views[4][5]. The main benefit is that Dashy saves you time and hassle by giving you a single, user-friendly page to launch and check on all your important services, with features like instant search, status indicators, and multi-language support[4][5]. https://github.com/Lissy93/dashy
Search: #sequential
@djangoproject · Post #98 · 07/11/2016, 12:22 PM
https://docs.python.org/3/library/asyncio.html #asyncio #Asynchronous programming is more complex than classical “#sequential” programming: see the Develop with asyncio page which lists common traps and explains how to avoid them. Enable the debug mode during development to detect common issues.
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@djangoproject · Post #153 · 09/03/2016, 08:20 PM
http://wla.berkeley.edu/~cs61a/fa11/lectures/streams.html In this chapter, we continue our discussion of real-world applications by developing new tools to process #sequential#data. In Chapter 2, we introduced a sequence interface, implemented in Python by built-in data types such as #tuple and #list. #Sequences supported two operations: querying their length and accessing an element by index. In Chapter 3, we developed a user-defined implementations of the sequence interface, the Rlist class for representing recursive lists. These sequence types proved effective for representing and accessing a wide variety of sequential #datasets.