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WebComponents.dev iPythonBased on our record, iPython should be more popular than WebComponents.dev. It has been mentiond 19 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.
How the tag name gets into your code can vary based on the method you are using to write your components. If you load up a few of the templates over on WebComponents.dev you'll see that many examples just use a string value typed into the define function directly. - Source: dev.to / about 2 years ago
WebComponents.dev — In-browser IDE to code web components in isolation with 58 templates available, supporting stories and tests. - Source: dev.to / over 2 years ago
We will show the benefits of Atomico through a comparison, we have used as a basis for this comparison the existing counter webcomponents in webcomponents.dev of Atomico, Lit, Preact and React as a base. - Source: dev.to / almost 3 years ago
Unfortunately, I couldn't get this to work in the online LWC editor https://webcomponents.dev So assuming this also won't work in the shadow DOM enviroment of SF? Source: about 3 years ago
WebComponentsDev have a lot of libraries and info (like codesandbox, but webcomponents land): Https://webcomponents.dev/. Source: about 3 years ago
As alluded to in Poetry2Nix Development Flake with Matplotlib GTK Support, I’m currently in the process of getting my “new” python workflow up to speed. My second problem, after dependency and environment management, was that fancy REPLs like ipython or ptpython don’t 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 1 year 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: about 2 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 / about 2 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: about 2 years ago
I know this isn't quite what you're asking for, but IPython (https://ipython.org/) is very capable as a Python + bash (or other) shell, as it allows you to easily integrate the system shell into the interactive environment. Although they now recommend Xonsh (https://xon.sh/) for such purposes. Source: over 2 years ago
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