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anktor

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Commenting just to go against the other two answers. I think it's fine to not remember things, no matter the apparent simplicity.

Quite surprised by others finding this as a... Surprise? I get there is people who never experience this, but they also not know anyone personally to whom this would happen?

Without any context of culture or country, just trying to be helpful: in my limited (<20 total interviews) experience, I would think about budget issues.

Meaning, what you ask for (or how expensive you are perceived, if you have that strong resumee) for the industry you apply, may be too different and leading to limited access.

Sometimes I feel junior people have it easier (I felt like I did, personally) since the expense in salary is pretty limited compared to either other roles or more senior people

It's been mentioned but I want to add that the original idea of the post (mid size VPS hosting apache spark) might be missing that spark is ideal for distributed and resilient work (if a node fails the framework is able to avoid losing that work).

If you don't need this features, specially the distributed one, going tall (single instance with high capacity, replicate when necessary) or going simpler (multiple servers but without spark coordinating the work) could be good options depending on your/the team's knowledge

Cursor 1.0 1 year ago

Correct. I don't want to circumvent rules but sometimes it feels like falling behind, like for reviewing MRs.

Cursor 1.0 1 year ago

Does anyone have experience with using this or another agent on local files? No company I know of will approve this for their owned repositories.

What about Gitlab instead of GitHub, is there an equivalent to cursor 1.0 product?

Recently I have been thinking about this, because I feel I have managed to become way more organized than I ever thought it was possible.

What is working for me right now is noting everything in a calendar so I cannot forget it or as TODO in a somewhat heavy personalized Obsidian configuration.

A few years ago (5-6 aprox) I started copying my older co-workers habits to see myself improve. Physical notebooks were soon discarded because I never remember where I wrote down things.

I used a TODO plugin in sublime which worked for several months, until I felt I needed screenshots so I moved to OneNote. After a while I became frustrated with not being able to customize it enough, so I started trying out different things. I saw a coworker using Obsidian, watched a couple long YouTube videos to learn how to customize, and I'm never going back.

My team this week told me they are impressed with how much info I write down and it was a very proud moment for me!

Apache Iceberg 1 year ago

PyIceberg is nice but we had to drop it because it's behind Java API and it's unclear when it will match up, so depending on which features are needed I'd look it up

I found the text interesting but either my browser is not loading something or the "meat" developing the core concepts is lacking.

Would it be correct to understand this as a syllabus, and not the actual explanations/lecture/content?

As someone doing this transition, I would love some references that help me... Train myself I guess? Other than by doing and analyzing myself, which is my current situation

I have realized I can give so many tips and reference so many great content online to learn math, programming, engineering... But find myself missing anything about managing

Since I feel the same, and my habits are really similar to yours (I'm forcing myself to read more articles compared to when I used reddit), I want to comment something I felt lacked in the article analysis.

For me, what's missing is intent. Most of the time I feel I could be doing better, I stop and think: wait, this is my resting time. Or, wait, this is my hobby. I feel even though I fall in one end of the balance, many times this articles fall in the other.

If I tried to deep dive and study as much as is suggested, I'd have no energy for other things that I value more right now. Reading author articles it seems to me others have different energy or their effort is focused differently, but I'm always cautious because burning out it's not something I want to ever repeat

Absolutely agreed. I've had some type of insomnia on and off most of my life, last year was particularly bad. Started taking melatonin, first day I fell asleep and rested like I couldn't for the past year. Asked my doctor about and he told me to keep taking it as long as I felt it worked, since anything he could give would be much much more addictive

Maybe it would be useful what "tell anyone what I read" means. Because if you mean 1 to some in a room, then most likely. If you use any type of broadcasting then most definitely no. Try reading outloud a script from a recent movie on twitch/youtube/radio/tv and whether it gets DMCA'd or not. Same for books, songs I guess... not? But not sure.

This type of comments can be seen every single time a thread about LLM, or OpenAI or some such comes up.

And it adds nothing. I'm sorry but saying "Whether that content is used to train a human mind or an artificial one is probably not up to you" may be worse than saying nothing at all.

First because it shows enough doubt on whether it's up to the authors of content (IP laws, fair use, intent of the use, and many things I ignore), while giving no laws as an example or frame of reference.

And second because it's comparing a human mind that we know exist, to an artificial one, which implies:

1. An LLM is an artificial mind, or close to one, whatever that is (again, not defined).

2. If they were to exist, they would be both equivalent and treated the same as a human one.

The amount of jumps in a couple sentences, added to the uncertainty of how copyright would/will work, multiplied by the numer of times I/we read that type of comment every single time, it's getting tiresome. And it's adding noise to the noise-signal ratio.

How is "not even top 25 of all time" an argument. What kind of metric is that, why is that a requirement. A top 100 of all time would be a flop now?

Big data is dead 3 years ago

"90% of queries processed less than 100 MB of data. [in big query]"

I think there is a problem when someone with such proclaimed knowledge of the sector gets to this, and similar, pieces of data, and does not attribute it to pricing. Could it be queries are short because bigquery pricing for analysis, as confusing as this models are, is based on amount of data?[0]

Because the other line of reasoning is that a big chunk of that 90% of professionals being paid to do their jobs, do NOT take into account pricing of the tool and are using it for small data, instead of thinking that people are using the best tool with the lowest price, because there's plenty of options to process and analyse data right now in the cloud.

On the "business have low amount of data", that matches my experience as well. At first I thought I was simply dealing with smaller sized companies, but it's a trend of doing big data projects for data that'd fit a pendrive.

[0] https://cloud.google.com/bigquery/pricing#analysis_pricing_m...

I've seen this reply several times under OP so I assume it's either automated or a mod, I'm not familiar enough with the site.

If a mod, why is a post answer which is basically bait, allowed to stay up, but people are being asked to refrain from answering it?

The topic is clearly ideological. A post defends a dictatorship with poor arguments and accused, among many other attrocities, of stealing thousands of babies. But the answers to such a troll are being asked to stop.

This article is great for me since I discovered zeal which is something I knew I need it but did not have a name for it.

Now I want to be honest, I have been trying for a bit over an hour to add ANY documentation that is not included by default. It's way too complicated. Has anyone found any success?

Docs from pyspark, azure data factory, databricks, anything big data related would be a gift for me. But the steps are overtly complicated.

Specifically, in the "Building documentation" part of the article, it's where you are supposed to use doc2dash and use to add new info. If someone or even the author has managed to add any not supported doc, and wants to share, it'd be much appreciated.

Otherwise I am left with the question, how many hours are you supposed to spend in order to save time with each search? Because this programs seem unbalanced for people without the know-how to even start.