José Morales

[José Morales @jmrlsz]

@charliermarsh If you have the character keys enabled in Settings/Accessibility you can use the g n shortcut

[José Morales @jmrlsz]

@marktenenholtz @nixtlainc The temporian folks performed benchmarks against pandas and polars, for 3M rows they were around 10x faster than polars. You can find their experiment here: https://t.co/aeR0tGKc2I

[José Morales @jmrlsz]

@marktenenholtz We try to address this problem with mlforecast, you might find it useful: https://t.co/NdNz4ovt5w

[José Morales @jmrlsz]

@jlowin Reminded me of this one

[José Morales @jmrlsz]

@isaac_flath I think no one has mentioned https://t.co/qtOfG48JcI. It seems like that would be useful to you, especially given that it can convert from jupyter

[José Morales @jmrlsz]

@aureliengeron @code I've found the combination of both through https://t.co/1rCbSYNrES to be the best for me.

[José Morales @jmrlsz]

@CoiledHQ Changed the order of some for loops for a nice speedup https://t.co/LvOmEXCKiM

[José Morales @jmrlsz]

@lauralorenzdev Congratulations! So no more prefect live streams? :(

[José Morales @jmrlsz]

@8bitscollider Thanks for the suggestion, will probably be the topic of the next one

[José Morales @jmrlsz]

I just published an #rdatatable article about .SD here: https://t.co/s0PG1AQGEd. Hope it's useful and any feedback is welcome.

[José Morales @jmrlsz]

@KellyBodwin If dat was a data.table:
dat[x > 0, x := sqrt(x)]

[José Morales @jmrlsz]

@BrodieGaslam @MattDowle Wow I saw him a lot in SO while I was following the data.table tag. Is he on Twitter?

[José Morales @jmrlsz]

@rasbt Could also try appending to a list instead.

[José Morales @jmrlsz]

@python_tip Also split it back! df['a2'], df['b2'] = df['c'].str.split(pat=' and ', n=1).str

np.all((df['a'] == df['a2'], df['b'] == df['b2']))

[José Morales @jmrlsz]

@mshelton @__apf__ @TMobile

[soyMargarito @soyMargarito]

ebridei aim chuflin

[soyMargarito @soyMargarito]

buatyu sei iscuestion