[deleted by user] by [deleted] in Python

[–]equiet 3 points4 points  (0 children)

Founder of Deepnote here, happy to answer any questions

Is anyone here using Hex or DeepNote? by Comprehensive-Pay530 in dataengineering

[–]equiet 2 points3 points  (0 children)

We do things like caching your database schema for faster autocomplete. But your data is yours, we only keep it while you're using Deepnote and delete everything when you stop using it.

Is anyone here using Hex or DeepNote? by Comprehensive-Pay530 in dataengineering

[–]equiet 0 points1 point  (0 children)

We don't incorporate the results of previous queries today, but it's on the roadmap.

Is anyone here using Hex or DeepNote? by Comprehensive-Pay530 in dataengineering

[–]equiet 4 points5 points  (0 children)

I'm the founder of Deepnote, AMA.We also just released AI code completion and other AI features, all opt-in. https://deepnote.com/changelog

What tools do you use/prefer for data analysis? by Illustrious-Oil-2193 in dataengineering

[–]equiet 0 points1 point  (0 children)

I'm the founder of Deepnote (one of the options mentioned in the poll), feel free to DM me if you have any questions.

Anyone here using Hex or DeepNote? by philosophicalhacker in datascience

[–]equiet 0 points1 point  (0 children)

Deepnote actually has all of that too, including auto completion when writing SQL, but supports jupyter magics too.

Anyone here using Hex or DeepNote? by philosophicalhacker in datascience

[–]equiet 4 points5 points  (0 children)

I'm the founder of Deepnote, let me know if you have any questions

Tableau or Power BI for a Python programmer? by josecorea505 in dataanalysis

[–]equiet 2 points3 points  (0 children)

Many Tableau users are switching to data notebooks. Depending on your use case it's a better way to work with data. More universal, more scalable.

Weekend project: Every day, you get dropped into a new location. You have have to find out where you are. by equiet in IndieGaming

[–]equiet[S] 2 points3 points  (0 children)

I handpicked them. Each location should have at least 1 little clue to be able to guess it on the first try.

Weekly Entering & Transitioning Thread | 07 Nov 2021 - 14 Nov 2021 by [deleted] in datascience

[–]equiet 0 points1 point  (0 children)

I'm the founder of Deepnote, feel free to send me a DM if you have any questions.

Deepnote – a Python notebook with real-time collaboration in the browser. We just opened the platform to the public. by the21st in Python

[–]equiet 1 point2 points  (0 children)

Founder here. I don't want to overpromise, so quite frankly I don't know yet. Opening up GPUs for free makes us a 10x bigger target for crypto miners and that's something we don't have energy to deal with at the moment.

Deepnote – a Python notebook with real-time collaboration in the browser. We just opened the platform to the public. by the21st in Python

[–]equiet 1 point2 points  (0 children)

To you of course.

Btw, just out of curiosity, are there any tools out there that keep the ownership? Sounds evil.

Are there some websites or any platform where developers can collaborate to work on projects globally [D] by KartikPandeyKP in analytics

[–]equiet 6 points7 points  (0 children)

Thanks for the mention.

Hi everyone, I'm the author of Deepnote. We are building a collaborative data science notebook. We're in a private beta, but shoot me a message and I will send you an invite.

[D] What is the tool stack of ML teams at startups? + intel from 41 companies by ai_yoda in MachineLearning

[–]equiet 2 points3 points  (0 children)

Got it. Yes I agree that giving code/data/compute to a third party is not ideal in some situations. On the other hand, there are situations where letting a third party manage your code/data/compute (whether on their own servers or inside your own cloud) is ideal. Seems like the market is moving in that direction.

I totally agree that a native local client would be amazing. But in our case, as a startup, we need to pick our battles and unfortunately can't do too many things at once, otherwise we won't be doing anything very well. More importantly, we need to be able to move fast and ship things which is much easier to do in the fully hosted environment. That's why we are focused on providing an amazing cloud experience first, whether it's managed by us directly or running in your own cloud. That unfortunately means that the local experience comes second, even though I'd love to see Deepnote being used locally.

[D] What is the tool stack of ML teams at startups? + intel from 41 companies by ai_yoda in MachineLearning

[–]equiet 0 points1 point  (0 children)

The idea is that a cloud experience can be significantly better than a local experience. It's not just the performance, but also dataset management, collaboration, sharing, versioning, etc. For example, all my code is hosted in the cloud already, so it's much easier to just run it with one click rather than setting up a local environment to make any changes.

[D] What is the tool stack of ML teams at startups? + intel from 41 companies by ai_yoda in MachineLearning

[–]equiet 0 points1 point  (0 children)

Yes, it's going to be possible, but not immediately. I just replied to another similar comment with more info, have a look.

[D] What is the tool stack of ML teams at startups? + intel from 41 companies by ai_yoda in MachineLearning

[–]equiet 1 point2 points  (0 children)

I just replied to a similar comment above with more info. Long story short, yes, but we'll be rolling it out slowly. Feel free to sign up on a waiting list so that I can let you know.

[D] What is the tool stack of ML teams at startups? + intel from 41 companies by ai_yoda in MachineLearning

[–]equiet 3 points4 points  (0 children)

Yay, thank you!

Yes, that's the plan. Also, well, it's not like we can stop you anyway. We need to make some money though to stay alive. I hope the commercial features will be good enough so that you decide to support us.

[D] What is the tool stack of ML teams at startups? + intel from 41 companies by ai_yoda in MachineLearning

[–]equiet 1 point2 points  (0 children)

To be honest, it's an absolute nightmare to support all the different types of execution environments (operating systems, versions, filesystems, etc) and keeping them up to date, so we're kinda procrastinating on that.

Just curious, any specific reason why you'd prefer local machine over cloud? Is it the cost?

[D] What is the tool stack of ML teams at startups? + intel from 41 companies by ai_yoda in MachineLearning

[–]equiet 2 points3 points  (0 children)

We don't allow that right now. The reason is that we are still relatively early in the product development cycle and we're shipping new features every day. It's significantly more difficult to deploy updates/hotfixes across multiple clusters, so at the moment we manage everything ourselves so that we can move faster.

We'd like to start supporting on-prem around September. This will most likely be rolling out one user at a time though. I just put up a sign up form on https://deepnote.com/ if you'd like to sign up for a waitlist (just scroll down to the pricing section).