An open-source initiative, Virgilio guides learners through data science resources and skill development.
Data Science Ipython Notebooks
Data Science IPython Notebooks collects notebooks about data science, including TensorFlow deep learning.
About Data Science Ipython Notebooks
This GitHub repository collects IPython notebooks on data science topics in Python. The notebooks cover deep learning with TensorFlow, Theano, Caffe, and Keras, along with scikit-learn, Kaggle, big data tools, and core Python libraries such as matplotlib, pandas, NumPy, and SciPy. Each area is organized into notebooks with short descriptions of what each one teaches.
The index also includes sections on Spark, Hadoop MapReduce, Amazon Web Services, command lines, and notebook installation. Some TensorFlow tutorials are linked from other repositories rather than included in this one.
Key features
- TensorFlow notebooks covering linear, logistic, and neural network models
- Theano notebooks on logistic regression, recurrent networks, and multilayer perceptrons
- Keras notebooks, including MNIST digit recognition and pre-trained VGG16 and ResNet50 models
- Notebooks on scikit-learn, pandas, NumPy, SciPy, and matplotlib
- Big data notebooks covering Spark, Hadoop MapReduce, and HDFS
- Notebooks on Kaggle, business analyses, AWS, and command lines
Best for: Learners and practitioners who want notebook-based examples of Python data science and deep learning libraries.
Good for
- Covers a broad range of tools, from core Python libraries to deep learning and big data.
- Notebooks are grouped by topic, with a description for each one.
- Includes an index and a notebook installation section.
Watch out for
- Some TensorFlow tutorials are linked from other repositories and are not part of this collection.
Data Science Ipython Notebooks at a glance
- Category
- Education & Learning › Learn to Code
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
Data Science Ipython Notebooks alternatives
Tools and sites you could use instead, ranked by how closely they match.
Virgilio organizes data science e-learning resources in a structured project overview.
This Awesome DataScience repository collects learning material and resources about data science.
Open source
24 alternatives
Deep-ML provides hands-on exercises in machine learning and data science fundamentals.
A series of Jupyter notebooks teaches machine learning and deep learning in Python with Scikit-Learn, Keras, and TensorFlow.
Open source
24 alternativesStrataScratch offers over 1,000 data science interview questions across SQL, Python, statistics, machine learning, and data projects.
Popular in Learn to Code
Well-known listings from the same topic.
Codelabscodelabs.developers.google.comScratchscratch.mit.eduTelegram Bot APIcore.telegram.org/botsStudent Developer Packeducation.github.com/packHacksplaininghacksplaining.comQB64SourceCodeqb64tutorial.com
Data Science Ipython Notebooks FAQ
Does the collection include deep learning examples?
Yes. It includes notebooks on TensorFlow, Theano, Caffe, and Keras, including convolutional and recurrent neural networks.
Which big data tools are covered?
The index lists Spark, Hadoop MapReduce, and HDFS.
Is something wrong or out of date?
Tell us and an editor will check it.
Own this website?
Claim this listing
Claim the listing and suggest updates yourself. An editor checks every claim first.