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Ddata-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.
Popularity
Repository stars29,38664,549Highest
7-day net stars——
Fork7,99911,287Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2024-03-202026-10-26
Maintenance notesNot verifiedNot verified
Repository created2015-01-232015-09-15
License & use
LicenseLicense not declaredMIT · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeLearning & resourcesLearning & resources
TypeApps & systemsApps & systems
SubcategoryReading & learningReading & learning
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguagePythonRust
About this projectData 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.:crab: Small exercises to get you used to reading and writing Rust code!
Measured at2026-11-02 19:02 UTC2026-11-03 08:24 UTC
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