data-science-ipython-notebooks
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.
29.4k stars
Python
Your first custom repo explanation is free. Reading existing public explainers always stays free.
This will take 10-20 minutes. You can close the tab and come back later.
More from donnemartin
View all →
More from donnemartin
View all →
Starting generation...
Checking for an available workflow slot.
Researching repository
Researching web & landscape
Searching X/Twitter
Planning the story
Writing the article
Generating illustrations
Building interactive diagrams
Adding expert commentary
Assembling final article
Publishing