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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
revans2
revans2 commented Nov 23, 2020

Spark is really inconsistent in how it handles some values like -0.0 vs 0.0 and the various NaN values that are possible. I don't expect cuDF to be aware of any of this, but I would like the ability to work around it in some cases by treating the floating point value as if it were just a bunch of bits. To me logical_cast feels like the right place to do this, but floating point values are

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  • Updated Feb 6, 2020

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

  • Updated Nov 26, 2020
  • Python
orange3
markotoplak
markotoplak commented Dec 15, 2020
  • What's wrong?

Rank widget does not show that Manual selection is active, if:

  1. Best ranked was active.
  2. I clicked into the white part of the table to deselect.

The "Select Attributes" radio button still has "Best ranked" active, but nothing is selected (and the status bar shows that nothing gets to the output). Instead, the "Select Attributes" radio button should switch to "

xarray

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