donnemartin/data-science-ipython-notebooks
One repo indexing the classic Python data science stack
It gathers runnable tutorials and reference notebooks across deep learning, statistical computing, and big data into a single map of the Python ecosystem.
Not currently ranked — collecting fresh signals.
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What it does This repository is a curated index of IPython notebooks spanning the Python data science and machine learning landscape. It collects tutorials, examples, and reference material for deep learning frameworks, statistical computing, data manipulation, visualization, distributed processing, and cloud utilities. Rather than a unified library, it is a browsable syllabus of runnable snippets.
The interesting bit The project’s value is its breadth, not depth. It acts as a centralized cheat sheet for dozens of distinct domains—Keras CNNs, Spark and MapReduce workflows, Pandas techniques, and AWS utilities—saving you from scattered documentation hunts when you just need to see working code.
Key highlights
- Deep learning notebooks cover TensorFlow, Theano, Keras, and Caffe, including CNNs, RNNs, LSTMs, and word2vec implementations.
- Core scientific Python stack: scikit-learn, SciPy, NumPy, Pandas, and matplotlib.
- Big data and infrastructure: Spark, Hadoop MapReduce, HDFS, and AWS utilities.
- Kaggle competition walkthroughs and business analyses.
- Command-line reference notebooks.
Verdict Worth bookmarking if you are learning the Python data stack or need a quick, runnable reminder of how a specific model or API behaves. Skip it if you want a maintained framework or a production-ready codebase; this is reference material, not a shipping product.
Frequently asked
- What is donnemartin/data-science-ipython-notebooks?
- It gathers runnable tutorials and reference notebooks across deep learning, statistical computing, and big data into a single map of the Python ecosystem.
- Is data-science-ipython-notebooks open source?
- Yes — donnemartin/data-science-ipython-notebooks is an open-source project tracked on heatdrop.
- What language is data-science-ipython-notebooks written in?
- donnemartin/data-science-ipython-notebooks is primarily written in Python.
- How popular is data-science-ipython-notebooks?
- donnemartin/data-science-ipython-notebooks has 29.3k stars on GitHub.
- Where can I find data-science-ipython-notebooks?
- donnemartin/data-science-ipython-notebooks is on GitHub at https://github.com/donnemartin/data-science-ipython-notebooks.