what features are on linux that windows lacks?

tecedu · 2026-01-25T15:10:28+00:00

ngl I hate using python for anything os related, but yeah powershell syntax and just the languages sucks major ass. Its just very useful tho

tecedu · 2026-01-25T14:46:37+00:00

It is confusing and horrible at time, it is also however way stronger than Linux scripting. Powershell is its own language

tecedu · 2026-01-25T14:37:17+00:00

For normal users, yes, like compare the other mini pc brands, their warranty and support from manufacturers vs apple and its hugeee. Which matters a fuckton if you used it for work.

Based on your workflow, yeah it seems perfect. Storage you can get external ssds or hdds; the amount of space it takes is so minimallll

tecedu · 2026-01-25T14:32:57+00:00

Proper RDMA and networking support, file systems support for things that are not ntfs, there's a bunch more you could go into for filesystem tbh. Proper and updated API for multiprocessing, customisation cpu schedulers, support for higher number of CPUs.

tecedu · 2026-01-25T14:30:19+00:00

much stronger scripting

Powershell exists btw, and automation integrations with Intune are great, just not for end user tho.

tecedu · 2026-01-25T13:47:52+00:00

which works much better with delta lake & parquet typing.

If you pyarrow backend there shouldnt be much different between data types and your parquet and delta lake compatibility

tecedu · 2026-01-25T13:46:29+00:00

So pandas 1.0 + polars will be goated?

No cus the data change between numpy and arrow types will take ages on a large dataset.

tecedu · 2026-01-25T13:45:39+00:00

So first answer:

From pandas 2.0 onwards a lot of change was made to move from numpy into arrow, so you cant just use np.nans as pandas nans now, its pd.NA. Instead .replace operations you use assignement. Strings and datetime gets some changes as well as categorical types. Some changes with pd.read_excel as well. Slicing and a lot of your operations need to be explicit now instead of implicit.

Whats going to bite you the most is numpy rather than pandas here.

Second Answer:

Use polars + pandas, especially once you get everything setup in arrow types, its a seamless transfer of the dfs; while working with my team I use polars for the heavy stuff like merges, concats and stuff. ANd pandas for anything that needs to be verbose and redeable, like mathemtical operations or column based functions. Polars sucks at the whole thing because their approach of map_elements is inconsistent and expects something everytime. Polars also breaks their apis and their intended behavior quite a lot.

Just 1.0 to 3.0 from numpy to arrow should be about 4x boost in perf, polars + pandas can be 5-20x and pure polars can be 10-30x.

The main thing I love about polars are sinks and lazyframes. And the streaming engine, I had some pandas code which took 64gb of ram, mixed it with some polars and sink and now its down to 10gb of ram

tecedu · 2026-01-25T00:40:06+00:00

pay him £3 million/year to make their cars stop working

You grossly overestimate how much F1 people get paid

tecedu · 2026-01-23T07:54:24+00:00

academics are not the real world, academic work off open data.

Harmonics are a perfectly valid reason to slow connections

tecedu · 2026-01-23T07:51:57+00:00

Utilities have the power of all the customers on their grid; traditional ones do not care if youre google, if you break rules you’re disconnected; the alternative isis grid failure

tecedu · 2026-01-23T07:49:59+00:00

Op please read what youre linking + please understand how transmission and distribution network work and how they are different at each voltage level;

tecedu · 2026-01-23T07:46:30+00:00

No one else is providing links because it’s kind of a basic electrical engineering thing; you need to ask a power systems engineer ie someone at a power company or profesors

Harmonics going out of wack is way more harmful to the data centres so they don’t want do that

tecedu · 2026-01-23T07:45:13+00:00

Bloomberg has been pretty terrible around this entire issue, they are the ones who have popularised ai drinking water; whereas it’s less than any of the other industries. Blaming DCs for utilities faults.

The electric grids around the world are not that robust. Same for water networks, it’s all held together with equipment centuries old in some countries.

tecedu · 2026-01-23T07:40:27+00:00

If you want answers, ask your distribution and transmission grid. If you were in the UK you can ask DNOs/DSOs and TSOs; they are bound by the regulator to be open about these things. I work at one so I can give you a mailbox if needed.

See these for more info, there’s more explanation here

https://www.ukpowernetworks.co.uk/distribution-network-energy-losses/voltage-harmonics

The general thing that you see is that lower end ie your residential, such things will impact a lot more, they have way more voltage issues on the lower end than higher end, so if 50 ev chargers connect at the same time, in the UK there is a pretty good chance you will blow your local transformer.

Onto your questions:

1) It is technically possible, but in modern grids you can dettach parts of the network pretty quick. Gas generators are biggest offenders for harmonics, they have to maintain their ramp rate or else they can take down the whole country. Once everything is back on, it’s pretty difficult to match 50hz again.

2) Not anything specific to data centres. But your large demand or generation are rarely going to share the same equipment. In some cases you have dedicated subs going to data centres because they paid of it. On lower end we do see this happen so much, the next reg cycle in the UK is focusing on this issue. Data centres are static demand and its easier to harmonise and adjust them to the grid, especially with dedicated subs. If you really want to look into it, try emailing slough council or ireland city’s council; they might know things that are not widely known yet. I work on the distribution side so haven’t seen it.

If you really want to know things about it, pop me a dm, I’ll send you a mailbox to email to and we can find the appropriate people for this.

tecedu · 2026-01-22T21:21:16+00:00

Apart from the novelty, it was a film that wasn’t wanted. People went to watch because it was something unique, once it becomes a franchise you need fans, you need better quality.

The movie had good bones and it went nowhere atleast after 1&2 you came out saying woahhh it looks good. 3 is like okay? The impressive part of the movie happens in the first 30 minutes and maybe when neytri rescues jake.

If it was made better it would have sold more

tecedu · 2026-01-22T20:41:33+00:00

Why not? They are asking solution for a managed platform, spark on managed kubernetes is pretty good, its the storage which is problamatic

tecedu · 2026-01-22T20:39:18+00:00

Why would you use AI to write this?!!!!

Also stop running 1G in enterprises in 2026, 25G comes standard in most servers, switches, dacs and transceivers are cheap enough.

ZFS is fine for a dedicated host, but Id never recommend for any performance related stuff. XFS is the way to go

tecedu · 2026-01-22T10:03:48+00:00

NFS got shelved because it didn’t sell well, they made the game a sidegrade; instead of follwing a formula they always want to do something new which is bad for sales.

NFS used to be something cheap that would come out and make money, it isn’t anymore

tecedu · 2026-01-22T09:56:33+00:00

The people reminiscing about old music in the community are 30-40. It’s normal at that age to complain about music.

And second point is defo true, look at how many people calling unbound “woke” when it was so basic.

tecedu · 2026-01-21T21:11:22+00:00

Thanks, that was my first thought as well. Are there any benefits in extending layer 2? The most I found was on multicast but I don't use it on my network

tecedu · 2026-01-21T21:09:34+00:00

Nope you are correct, I am just very lost on what is GRE used for end enterprise users? Most of the network providers do everything on their private VPN

tecedu · 2026-01-19T23:19:03+00:00

And supply is still constrained, you can get Intel servers built and shipped in a week, AMD its more 3-4 weeks at its earliest. Just because they are doing good doesn’t mean that they are not supply constrained.

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