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donnemartin/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.

Observed OCT 8, 2026 · 00:08 UTC

Open on GitHub

Facts

Language: Python
License: other
Created: JAN 23, 2015
Last push: 3y ago
Last release: None recorded
GitHub: donnemartin/data-science-ipython-notebooks ↗

Measurements

Stars: 29,360
Forks: 8,013
7D change: Collectingfrom OCT 9
30D change: Collectingfrom NOV 1
90D change: Collectingfrom DEC 31
Velocity: Collectingfrom OCT 16
Acceleration: Collectingfrom OCT 23
Trajectory: Collectingfrom OCT 16
Trending percentile: Collectingfrom OCT 16

Technologies

MemberAmazon Web ServicesTagged aws
MemberApache SparkTagged spark
MemberKerasTagged keras
MemberNumPyTagged numpy
MemberpandasTagged pandas
MemberPythonTagged python
Memberscikit-learnTagged scikit-learn
MemberTensorFlowTagged tensorflow

Star history

Daily history began OCT 2. The chart appears after 7 days. 1 observed day shown.

Observed days (1)

Day	Stars	Forks
OCT 2	29,360	8,013

Facts

Measurements

Categories

Technologies

Star history