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Based on our record, Umbrel should be more popular than iPython. It has been mentiond 55 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
It is not well know but I heard good thing about what they do. It is very similar to Umbrel [0]. - [0] https://umbrel.com/. - Source: Hacker News / 3 months ago
Yeah, I was one of them. Developers are not the endgame, though. True social media needs people who are not going to do anything more complicated than "go to website, sign up". there's no world where setting up your own pds is that simple without an organized piece of software to do that kind of thing. personally, I could probably get behind recommending something like umbrel[0], if it included something like a... - Source: Hacker News / 7 months ago
What I would want to have some company to make one device that would at the same time be: 1) router 2) smart tv (airplay, chromecast, miracast) 3) smart speaker 4) smart home gateway (matter) 5) wireless charging pad 6) private cloud (nextcloud) 7) private backup (removable nvm) 8) private vpn / dns / pihole / adguard 9) mini server Everything in a nice package and preconfigure and ideally modular (upgradable ssd,... - Source: Hacker News / over 1 year ago
Umbrel[0] maybe? I posted a list of related services here[1] as well, though most of them are cloud based. [0]: https://umbrel.com/ [1]: https://forum.indiebits.io/t/open-identities/500/12. - Source: Hacker News / almost 2 years ago
Have you checked out Umbrel[1]? You can self-host Umbrel on your own hardware[2] as well. I'm not sure if they allow for multiple nodes that can stay in sync. If (/once) they do, it'd solve for disasters / availability. [1]: https://umbrel.com [2]: https://github.com/getumbrel/umbrel. - Source: Hacker News / about 2 years ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 10 months ago
As alluded to in Poetry2Nix Development Flake with Matplotlib GTK Support, Iโm currently in the process of getting my โnewโ python workflow up to speed. My second problem, after dependency and environment management, was that fancy REPLs like ipython or ptpython donโt jazz well with the standard comint based inferior python repl that comes with python-mode. One can basically only run ipython with the... - Source: dev.to / about 2 years ago
Third, if possible use a command line interpreter to test things out. I recommend ipython for this purpose. You can use your browser's developer console this way if you are learning Javascript. Source: over 3 years ago
IJulia is an interactive notebook environment powered by the Julia programming language. Its backend is integrated with that of the Jupyter environment. The interface is web-based, similar to the iPython notebook. It is open-source and cross-platform. - Source: dev.to / over 3 years ago
Also, take a look at installing iPthon to give you a much richer shell environment. This underpins Jupyter Notebooks, so is well known, proven and trusted. Source: over 3 years ago
YunoHost - YunoHost is a Debian GNU/Linux based distribution packaged with free software that automates the...
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
Cloudron - The Cloudron platform helps you effortlessly run web apps on your server.
PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...
Nextcloud - With Nextcloud enterprises host their own secure cloud solution for storage, collaboration & communication from any device, anywhere.
Spyder - The Scientific Python Development Environment