Тёмный
No video :(

Nico Kreiling: Raised by Pandas, striving for more: An opinionated introduction to Polars 

PyData
Подписаться 161 тыс.
Просмотров 2,3 тыс.
50% 1

Опубликовано:

 

22 авг 2024

Поделиться:

Ссылка:

Скачать:

Готовим ссылку...

Добавить в:

Мой плейлист
Посмотреть позже
Комментарии : 5   
@gregorywpower
@gregorywpower Месяц назад
Good to see that the "Things I miss in Polars" list has gotten much smaller with the integration by scikit-learn and hvplot.
@flwi
@flwi Год назад
Nice presentation. Discovered polars only recently and already like it. Feels way more lightweight than spark and I don't often need a whole cluster to compute stuff.
@chndrl5649
@chndrl5649 10 месяцев назад
What does it mean by typing efficiency?
@Mayur7Garg
@Mayur7Garg 5 месяцев назад
Polars is very verbose. You might have to type a lot even for small operations wherein pandas you can do the same with very few characters.
@javierbenito2150
@javierbenito2150 2 месяца назад
Nice seing "the industry" apply vertical scaling stuff that has been done in games (for world data) for at least the last 20-30 years (since cache fetch fail is order of magnitudes more expensive than a cache normal read and SIMD/MMX intructions are available on x86. I thought that compilers took care of these processor "bowels" stuff since thewlast two decades, and probably they did until now. It seems today the data sets are so huge that we must micromanage memory access and vertical paralelism explicitelly again. For a litle while at least. So it in hindsight, explicit optimisation of code data access patterns was outrunned by processor might, and then was further rendered obsolete by multi-core CPUs: Iin theory, of course, because good usage of parallelism is still in its infancy. But now it seems data set size growth has outrunned CPU growth 🤣 Low level 3D engine game programmers, you have a whole new market opening!
Далее
When I met the most famous Cristiano
01:03
Просмотров 22 млн
Thomas J. Fan - Time Series EDA with STUMPY
26:24
Science Presentation - SNL
4:54
Просмотров 20 млн
This is why Deep Learning is really weird.
2:06:38
Просмотров 382 тыс.
Ruby on Rails: The Documentary
44:16
Просмотров 249 тыс.
Good Presentation VS Bad Presentation *
5:13
Просмотров 4,3 млн