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data-science

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lucyleeow
lucyleeow commented Aug 27, 2020

Describe the issue linked to the documentation

Follows from #17387

Suggest a potential alternative/fix

Stop referencing preprocessing functions e.g. :

maxabs_scale
minmax_scale
normalize
quantile_transform
robust_scale
scale
power_transform

in the UG, and only add them e.g. in the "See Also" sections, or even just in the API ref.

In particular right now the first entr

incubator-superset
cooley-pe
cooley-pe commented Sep 30, 2020

Is your feature request related to a problem? Please describe.
I have a lot of trouble distinguishing between the shades of green signifying a running vs successful query in sqllab.

Describe the solution you'd like
Ideally these would be two different colors for running vs successful. Maybe yellow and green respectively?

Describe alternatives you've considered
If there isn't

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

  • Updated Oct 1, 2020
  • Python
Carreau
Carreau commented Aug 27, 2020

There are many places where we could make use of Pathlib.

Look for any places that uses with open(...) and ask yourself:

  • is the argument a string ?
  • would it make sens to make it a Path(),
  • how far upstream in the code can I make it a Path.

Don't try to bite more than you can chew (or more than I can review), try to fix 1 place at a time.

AmeerHajAli
AmeerHajAli commented Oct 14, 2020

When running in cluster mode, passing references does not work, e.g.,:

auto r3 = Ray::Task(Return1).Remote();
auto r4 = Ray::Task(Plus1, r3).Remote(); // passing r3 as reference argument

CC @SongGuyang

  • I have verified my script runs in a clean environment and reproduces the issue.
  • I have verified the issue also occurs with the [latest wheels](https://docs.ray.io/en
dash
akrolsmir
akrolsmir commented Oct 13, 2020

Summary

Possibly a regression from the recent st.balloons upgrade? Or maybe was always the case.

Steps to reproduce

st.header("Results")
if st.button("Press me!"):
    st.balloons()
st.header("hm")

Click on the button.

Expected behavior:

No space inserted after clicking on the button.
(E.g. st.empty() would not take up space there)
Probably just need to mark

gensim
pytorch-lightning
Borda
Borda commented Oct 6, 2020

🚀 Feature

Parse the Readme and replace generated badges by downloaded ones

  1. process in setup.py
  2. parse all badges from online CI and save them as png (svg is problematic, does not work for all plaforms)
    2 replace badges in Readme with the downloaded ones

Motivation

pipy page does not work well with generated badges and also projecting the master state to a given release do

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