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.
python
aws
data-science
machine-learning
caffe
theano
big-data
spark
deep-learning
hadoop
tensorflow
numpy
scikit-learn
keras
pandas
kaggle
scipy
matplotlib
mapreduce
-
Updated
May 13, 2021 - Python
We run doctests on a CI environment with many packages installed:
https://github.com/dask/dask/blob/a87236041ff223363698f65c5b7c153415a41259/.github/workflows/additional.yml#L80:L104
So we probably don't need to skip as many as we do (grep for
# doctest: +SKIP
).