Samidhya Sarker

Computer, Video games, Metal music maniac.

[Samidhya Sarker @desertSniper87]

https://t.co/vkFzLWfDXN Nice

[Aiden Bai @aidenybai]

Introducing Million Lint 1.0:

A VSCode extension that automatically fixes slow React code for you!

It's like ESLint, but for performance!

[Samidhya Sarker @desertSniper87]

I have been using @zeddotdev for last couple of days. As a #vim user for many years, vim can do everything zed offers, and zed has yet to implement many features to match vim. Still, I'm enjoying zed... I don't know why. Just liking the feeling while coding on it.

[Samidhya Sarker @desertSniper87]

@deliprao Reveal.js, remark etc see here https://t.co/J4mF69Axx7

[Matt Boyle @MattJamesBoyle]

John Cena is bullish on Postgres too.

[Michael Pyrcz🌻 @GeostatsGuy]

A student told me, "I don't get the difference between model fitting by:

1. minimum Mean Square Error (MSE) and
2. Maximum Likelihood Estimation (MLE)"

To help this student, I built out this #Python @matplotlib dashboard for fitting a Gaussian parametric distribution to data while calculating & visualizing the training data MSE and likelihood!

Many students have found this helpful, so I shared it on #GitHub @ https://t.co/OrCHoYT2Sj ∀. #DataScience

[DeepLearning.AI @DeepLearningAI]

¯\_(ツ)_/¯

Original by buildooors on Reddit.

[Robin Houston @robinhouston]

This is one of the funniest things I've ever seen. I don't know why OP deleted it, but I think it needs to be preserved for posterity.

[Samidhya Sarker @desertSniper87]

Ubuntu 24.04 released https://t.co/6Dl7rrP7dU

[amrit @amritwt]

32-year-old @ylecun shows off the world's first Convolutional Network for Text Recognition.

This is 1993.

Pioneer in it's true sense.

[Samidhya Sarker @desertSniper87]

One of the best thing I read in a while https://t.co/xMc6tEbDlH

[Learn Vim @learnvim]

To generate 100 lines of "100 bottles of milk", you can run:

:for i in range(100, 0, -1) | put = i . ' bottles of milk 🥛' | endfor

#vim

[Samidhya Sarker @desertSniper87]

I completed the July challenge faster than 86.6% of all learners on Duolingo!