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pankajkumar229

I find irony here.
Re:Run0 – systemd based alternative to sudo announced on Wednesday May 01, 2024 @04:28AM (#40220850)
there is no reason for users to be maintained in the kernel.
Why not just increase sales tax? Or make sales tax sector by sector. Since they are almost a monopoly, it will come out of their own pocket mostly.
Re:Show HN: C++ Editor for Teaching How to Code on Sunday January 20, 2019 @01:34AM (#18951526)
We have an education product and we support C++ using jupyter/nbgrader/clang too. https://datacabinet.info/dc-docs/sbs/projects.html#step-3-c . We had to make some clang changes to make it work.
Re:Learning KVM – implement your own kernel on Tuesday January 01, 2019 @03:46AM (#18799473)
Would this not just be a container?
Re:Reple: “Replay-Based” REPLs for Compiled Languages on Saturday December 22, 2018 @04:31PM (#18742547)
Could it be done in llvm or another backend so all frontend languages can benefit?
Re:Keyboard Service Program for MacBook and MacBook Pro on Friday June 22, 2018 @07:38PM (#17378445)
I have a late 2013 with the same exact keyboard problem. Apple quotes a crazy repair price. Can someone sue for us?
Re:Advanced computing with IPython on Tuesday June 05, 2018 @10:57AM (#17238236)
Disclaimer: I am one of the founders of DataCabinet.

We built an online service on top of Jupyter which takes away the effort of handling JupyterHub. It would be great if we could hear some feedback in the context of this conversation. We feel that DataCabinet is better in ways because it provides: a. Autoscaling according to number of users b. Sharing full containers easily between people. You can install pip/conda binaries and share with students/users. c. Shared storage so nbgrader works seamlessly. Here is a full comparison: https://datacabinet.info/pricing.html

Please excuse our landing page, it just got created today and we are fixing it.

Show HN: DataCabinet, Website to Maintain Jupyter Notebooks in the Cloud

http://datacabinet.systemsDataCabinet is a website to maintain conda environments directly on the cloud and access these environments through Jupyter notebooks. It also offers other useful features like sharing and authentication/authorization.Find detailed usage documentation: https://datacabinet.github.io/Your feedback would be invaluable as we stabilize and add new features to the product....

( Read More... | 2 comments | 3 points | on HN )
Re:The Technology Behind A Low Latency Cloud Gaming Service on Wednesday September 28, 2016 @03:18PM (#12600463)
We built the exact same technology at Agawi(http://arstechnica.com/gaming/2012/09/report-cable-companies...). The only difference was that we did not have the parker API. We worked very closely with Microsoft and NVidia to make it work back then with full headless Windows GPU servers. H264 encoding both in GPU and CPU. We could have reduced latency by distributing the servers but we did not get to the stage of distributing GPU cloud back then. But the business never took off. I was not on the business side so I cannot tell exactly why. Probably latency but there are 3D strategy type games that you could stream. If you need, I can ask the business head of our team and he can elaborate.