Upitor

6 ms·

1.
by Upitor 13d ago
Everybody doomscrolling in here: Relax! Take a deep breath, and go for a walk :-)
2.
Show HN: Python Dispatching Without Limitations(ulrikchristensengit.github.io)
1 points by Upitor 6mo ago|0 comments
3.
by Upitor 1y ago
Feels a little weird, given that there is an easy closed formula for the solutions.
4.
by Upitor 2y ago
Where do you see the upcoming support for multidim data? Link?
5.
by Upitor 2y ago
In my experience, NWP data is big. Like, really big! Data over HTTP calls seems to limit the use case a bit; have you considered making it possible to mount storage directly (fsspec), and use fx the zarr format? In this way, querying with x
6.
by Upitor 4y ago
They are still not syncing directly to the AC grid. They are not going 50 rounds per second
7.
by Upitor 5y ago
I see. I should have read the article more carefully :-)
8.
by Upitor 5y ago
Also, consider a ‘sales’ table with multiple references to a ‘calendar’ table: [shipped_date], [order_date], [received_date]
9.
by Upitor 5y ago
In my opinion this proposal seems only to consider simple cases, but there are many not-so-simple relationsship types: Consider a ‘sales’ table which includes columns [time] and [sold_by_employee_id], and a periodized ‘employee’ table which
10.
by Upitor 5y ago
The author makes a case against using “valid_from”/“valid_to” columns on your table. But in my experience, that is the only viable solution. Fx joining an employee-table and a department-table needs to take into account when an employe
11.
by Upitor 5y ago
If he wants to do ML research, why doesn’t he want to do a PhD program? I dont think you can get both: if you do research, there is less focus on making operational software. If you make operational software, there is less focus on doing re
12.
by Upitor 5y ago
Isomorphic as vector spaces, meaning that their additive structure is the same. But the complex numbers are usually not used as a vector space, but rather as an algebraic field, i.e. considering both their additive and multiplicative struct
13.
by Upitor 5y ago
Would either of these database systems be proper for a case where you have a mix of large measurement data and small reference/master data that you need to join, filter, etc. ?Example: SELECT r.country, m.time, SUM(m.measurement) FROM
14.
by Upitor 5y ago
These are fine intros, but then you have to actually dive into these topics. Sometimes there is no real interesting way to explain these topics. Fx, iirc the construction of the real numbers is rather tedious. But I agree, that more effort
15.
by Upitor 5y ago
As another user wrote, some db systems already can provide suggestions for missing indexes based on stats. But automatically creating them? Should all new indexes just add up (that would fill the db pretty fast) or replace prevoius ones (wh
16.
by Upitor 5y ago
What? I wouldn’t want this. How would you evne automate it? Creating the right indexes is the same as creating the right tables and columns in your data model: It depends on the business purpose and usage of the data.
17.
by Upitor 5y ago
Did what exactly? Most the transmission grid at least is overhead lines in Denmark. In fact, it is said that putting more than 15% of transmissions lines underground would be irresponsible due to physical limitations of AC lines, which corr