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Data Science

Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge from structured and unstructured data. Data scientists perform data analysis and preparation, and their findings inform high-level decisions in many organizations.

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superset

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 May 13, 2021
  • Python
pytorch-lightning
carmocca
carmocca commented Oct 19, 2021

Proposed refactoring or deprecation

Current names:

pytorch_lightning/plugins/precision/
├── apex_amp.py
├── deepspeed_precision.py
├── double.py
├── fully_sharded_native_amp.py
├── ipu_precision.py
├── mixed.py
├── native_amp.py
├── precision_plugin.py
├── sharded_native_amp.py
├── tpu.py
└── tpu_bfloat.py

Motivation

Had to choose this when working on

dash
gertcuykens
gertcuykens commented Oct 2, 2021

When using Python you can click on the File line in vscode terminal to go to statement

Traceback (most recent call last):
  File "/Users/gert/Desktop/py/./tutorial.py", line 4, in <module>

When using IPython the line number is displayed in such a way you can't parse it

ValueError                                Traceback (most recent call last)
~/Desktop/py/tutorial.py in <modu
Mars-or-bust
Mars-or-bust commented Oct 15, 2021

Bug summary

The ax.invertxaxis() and ax.invert_yaxis() function both produce the same output, a scatterplot with a flipped X axis.

Code for reproduction

from mpl_toolkits import mplot3d
import matplotlib.pyplot as plt

ax = plt.axes(projection='3d')
plt.title("Invert Z")
ax.scatter3D(1,1,1)
# ax.invert_xaxis()
ax.invert_yaxis()
# ax.invert_zaxis()

Actual o

danieldeutsch
danieldeutsch commented Jun 2, 2021

Is your feature request related to a problem? Please describe.
I typically used compressed datasets (e.g. gzipped) to save disk space. This works fine with AllenNLP during training because I can write my dataset reader to load the compressed data. However, the predict command opens the file and reads lines for the Predictor. This fails when it tries to load data from my compressed files.

nni