Based on our record, Package Control should be more popular than nteract. It has been mentiond 9 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.
The shebang will depend on your system setup. I haven’t heard of shebang packages, and I don’t know how useful they would be. But if one exists it would be listed on Package Control. Source: 11 months ago
Another Editor would be Sublime Text. Its not so mighty like VS Code. But it is fast, customisable via packagecontrol etc. etc. Source: 12 months ago
I also tried packagecontrol.io but it seems like it is not filtering properly. If I try to filter :s4 its just returning a big mix of everything... Source: about 1 year ago
- name: install package vars: package_name: "Package Control.sublime-package" get_ulr: url:"{{ 'https://packagecontrol.io/' + package_name }}" Dest: "{{ '~/.config/sublime-text/Packages/User/' + package_name }}". Source: over 1 year ago
Adding to this, while the software is proprietary the community mods/packages ecosystem is very healthy and easy to use. https://packagecontrol.io/. - Source: Hacker News / over 1 year ago
At the same time that already established and widely used IDEs like RStudio are renewed and provide support for new languages, other solutions appear almost out of nowhere and are adopted by the market as is the case of nteract, an open-source project to be the next interactive development experience adopted by Netflix, in practice it has support for Python, node.JS, R, Julia, C ++, Scala and .NET, in addition to... - Source: dev.to / over 2 years ago
Sounds like you're looking for nteract. Source: about 3 years ago
If you reach infuriation levels you can always cop out and use https://nteract.io/ Ultimately I would suggest jupyterlab over jupyter. Source: about 3 years ago
You can also try the software nteract (https://nteract.io). Source: about 3 years ago
pip - The PyPA recommended tool for installing Python packages.
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.
Python Poetry - Python packaging and dependency manager.
iPython - iPython provides a rich toolkit to help you make the most out of using Python interactively.
Conda - Binary package manager with support for environments.
BeakerX - Open Source Polyglot Data Science Tool