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Data science Python notebooks covering deep learning, machine learning, big data, and more.
Companion repo for Python for Data Analysis book with Jupyter notebooks and data science examples
IPython is a powerful Python shell and interactive notebook environment for scientific computing and data analysis.
Powerline is a statusline plugin for Vim, providing statuslines and prompts for various apps.
Docker images containing Jupyter applications for data science and machine learning workflows.
A multi-user server for Jupyter notebooks, enabling collaborative data science and AI development.
A collection of data analysis and machine learning projects and resources for developers.
A collection of various notebook extensions to enhance the Jupyter notebook experience for developers.
A comprehensive collection of tutorials and resources for AI, deep learning, and machine learning in Python.
A plotting library for IPython/Jupyter notebooks, providing a simple and powerful API for data visualization.
A collection of lectures on scientific computing with Python, presented as Jupyter Notebooks.
A Python library for doing live coding presentations and demos in the terminal.
Full-screen console debugger for Python developers, with a rich set of features and customization options.
Beautiful spinners for terminal, IPython, and Jupyter to provide a more engaging developer experience.
A Jupyter notebook environment for terminal-based Python development with a focus on visual and interactive tools.
A Python library for building interactive command-line interfaces with a familiar, terminal-based UX.
Provides coding assistance for JupyterLab with features like code navigation, hover suggestions, and linters.
A Python library that integrates the IPython debugger (pdb) for enhanced debugging experiences.
3D plotting library for Python in the Jupyter notebook, using WebGL and IPython widgets.
This is a tutorial on using deep learning for natural language processing with PyTorch.
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