Alternative to Colab and Binder for running practicalAI in the cloud #5

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opened 2025-11-02 00:01:08 -05:00 by GiteaMirror · 4 comments
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Originally created by @martinzugnoni on GitHub (Dec 19, 2018).

Hi @GokuMohandas,

I've been recently taking a look at the sample Notebooks in this project and I found them really interesting and valuable for teaching purposes. We're even thinking about adding part of them to our curriculum at https://rmotr.com/ (cofounder and teacher here), in our Data Science program.

We have a small service at RMOTR that lets you run a Jupyter environment online in a single click. Similar to Google Colab or Binder, but also with the ability of installing custom requirements, clone an entire GH repo, etc. We use it for our students, so they don't have to hit the initial wall of installing the whole local Jupyter setup when they are getting started in the DS world.

You can see how practicalAI looks like in the service using this link:
https://notebooks.rmotr.com/clone/gh/GokuMohandas/practicalAI

Note that all requirements listed in requirements.txt are already installed when the env is loaded, so people can start using it right away. That gives you the flexibility of adding any requirement, and not being tied to what Colab provides by default.

Do you think it would be a good choice to add it as a third launching option? Alternatively to Colab and Binder, already listed in the README.

I hope you like it, and I truly appreciate any feedback.

thanks.

Originally created by @martinzugnoni on GitHub (Dec 19, 2018). Hi @GokuMohandas, I've been recently taking a look at the sample Notebooks in this project and I found them really interesting and valuable for teaching purposes. We're even thinking about adding part of them to our curriculum at https://rmotr.com/ (cofounder and teacher here), in our Data Science program. We have a small service at RMOTR that lets you run a Jupyter environment online in a single click. Similar to Google Colab or Binder, but also with the ability of installing custom requirements, clone an entire GH repo, etc. We use it for our students, so they don't have to hit the initial wall of installing the whole local Jupyter setup when they are getting started in the DS world. You can see how `practicalAI` looks like in the service using this link: https://notebooks.rmotr.com/clone/gh/GokuMohandas/practicalAI Note that all requirements listed in `requirements.txt` are already installed when the env is loaded, so people can start using it right away. That gives you the flexibility of adding any requirement, and not being tied to what Colab provides by default. Do you think it would be a good choice to add it as a third launching option? Alternatively to Colab and Binder, already listed in the README. I hope you like it, and I truly appreciate any feedback. thanks.
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@GokuMohandas commented on GitHub (Dec 19, 2018):

Hey @martinzugnoni,

This is very cool stuff! I'll add the button to access rmotr on the README tonight. And keep me posted on adding practicalAI to your curriculum, I'd love to contribute.

@GokuMohandas commented on GitHub (Dec 19, 2018): Hey @martinzugnoni, This is very cool stuff! I'll add the button to access rmotr on the README tonight. And keep me posted on adding practicalAI to your curriculum, I'd love to contribute.
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@martinzugnoni commented on GitHub (Dec 20, 2018):

Sounds great, @GokuMohandas! Let me know if there's anything I can help you with.

@martinzugnoni commented on GitHub (Dec 20, 2018): Sounds great, @GokuMohandas! Let me know if there's anything I can help you with.
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@GokuMohandas commented on GitHub (Dec 25, 2018):

@martinzugnoni added the button and played around a bit with rmotr too, very neat platform!

@GokuMohandas commented on GitHub (Dec 25, 2018): @martinzugnoni added the button and played around a bit with rmotr too, very neat platform!
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@martinzugnoni commented on GitHub (Dec 26, 2018):

@GokuMohandas sounds great! Let me know if there's anything else we can help with.

@martinzugnoni commented on GitHub (Dec 26, 2018): @GokuMohandas sounds great! Let me know if there's anything else we can help with.
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Reference: github-starred/Made-With-ML#5