Mortiffer

The R community has been hard at work on small data. I still highly prefer working on on memory data in R dplyr DataTable are elegant and fast.

The CRan packages are all high quality if the maintainer stops responding to emails for 2 months your package is automatically removed. Most packages come from university Prof's that have been doing this their whole career.

Thinking the same. Also considering the amount of speed up you get from the copilot .

You can't have a bank account without a gov approved money manager account so you can't really self host it.

Also you can't on offramp crypto without a counter party will to make the trade ( liquidity )

Catchy title but I doubt it works was also vibecoded so I'd be extremely surprised if it works as advertised

Power is back on some parts of Lisbon

Why do they bring up vibe coding here. They are just a firebase alternative and Google has way superior ai code gen tools

Sounds like sponsored content. Every other review I have read people say they go back to laptop because the text fidelity, eye strain and keyboard on lap is just the best productivity setup

I came to the same conclusion and moved on. We had some c# applications reading some python

I have not found a single prof that thinks the trend have having higher and higher % of university staff be administrators is a good thing.

I wonder if it is possible for them to connect funding to a maximum allowed ratio of admin to prof / lectures

Love how a competitor to git was published on GitHub

How can we get ride of vendor lock-in and have fait market competition get prices down for cloud?

It must be possible to make cloud more cost effective via specialization versus every company building the same infrastructure again and again.

so Paradedb and Hydra are using same codebase or just similar approach ?

Not a big crime hope they don't bring down the law too much on him

A comparison to https://www.citusdata.com/ would be nice

some people's real world take https://www.reddit.com/r/MacOS/comments/1bkd3m4/unpatchable_...

Direct link https://happiness-report.s3.amazonaws.com/2024/WHR+24.pdf

Don't see this happening scientists are totally happy installing R or Matlab etc. Often a lab even sticks with windows b/c of some drivers for a sensor that only exists for windows

Could you detail how you populate the search index and what you expect the memory limits to be?

firefox https certificate error "PR_CONNECT_RESET_ERROR"

Jan 01 2024

Thank you for innovation that could free us from git

Like scaleway

Pls also consider the egress network speed. I got burned by scaleway when they changed their blob store pricing. Trying to my grade out to Hetzer would have taken months at the network speeds they were providing

but i guess this won't impact Google Cloud Storage egress fee

Same xp

Surprised to not see DIDcomm standard mentioned https://identity.foundation/didcomm-messaging/spec/v2.1/ https://didcomm.org/

core element is https://postgrest.org/en/stable/ . I use this in production in large corporate projects on k8s. For a large number of use cases you can put logic into stored procedures SQL. PG can also do JS or Py stored procedures but you get a better developer experience if your logic code is deployed through regular CI/CD containers or functions (we use both extensively together depending on cost trade offs either one.)

Supabase suggests you to use their DENO serverless functions which is cool and all but i think most people would rather deploy node functions on cloudflare for webprojects.

That being said the target customer group are those that want to have 99% of their logic in JS frontend. Backend just does CRUD and Auth.

I wonder if this kind of a setup would be useful for federated protocols. Mastodon and Farcaster both maintain websocket connections open from all servers to all servers.

Based on recent experience with large deployments at S&P500 types, IMHO the value snowflake providers to most companies can easily be deployed in house with either old school Hadoop,Spark, Hive or old school Impala, Hbase or more recently Trino.

The clients I had where we installed snowflake every is super worried about any additional copy operation because everyone is keenly aware of the unlimited cost. This makes getting shit done harder.

Clients that have a decently sized k8s cluster running Trino or old school Spark/Hadoop cluster on fat VM's you know what you got you know what your paying for you make estimate of how much ram / cores you need for certain workloads and once they are purchased your engineers get really good at squeezing as much work out of the given resources as possible. And no constant complaining in meetings about what potential extra cost this additional computation may have.

Also if other people working in other parts of your org don't run snowflake themselves you gotta pay for their snowflake usage on your bill or you pay for copying data back out to S3/ADLS/sFTP so that other departments can get to the results of your computations. And snowflake really doesn't like it when you do this, they even gave exporting data a new name, they call it "unloading" making you feel like your undoing something which you probably should not undo.... On that note, Snowflakes data export options are significantly underdeveloped in contrast to Databricks, Cloudera and also the original open versions Spark, Trino and Impala.

</rant> :)

That's terrible man.

I hate being dependent on a doc. Try to reduce this horrible risk by going up and down on dose to get a little stock pile to feel a bit safer.

But changes little I guess