Installs numpy, pandas, matplotlib and jupyter-notebook
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Oct 25, 2022 - Shell
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matplotlib
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Large-scale Data Analysis supplementary material.
python ssh machine-learning computer-vision jupyter tensorflow numpy keras tutorials mnist neural-networks classification matplotlib convolutional-neural-networks midway tensorflow-keras
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Dec 8, 2019 - Shell
📚 Open source documentation written during @droxey's tenure as an instructor at UC Berkeley. No copyrighted in-class materials are provided here.
javascript d3 python data-science machine-learning r big-data spark mongodb hadoop anaconda excel sequelize pandas data-visualization educational matplotlib tableau additional-materials
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May 18, 2018 - Shell
🐧 Example of IPython/Jupyter/matplotlib custom configs in a Pipenv's environment
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Apr 15, 2019 - Shell
matplotlib style file to mimic Kaleidagraph line/scatter plots
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Jul 2, 2019 - Shell
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Sep 17, 2023 - Shell
A demo of creating a cos regression line graph.
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Jun 8, 2024 - Shell
Reproducible iperf3 experiments using Linux network namespaces, veth, fq qdisc, and BBR. Includes scripts to spin up the topology, run tests, aggregate JSON → CSV, and plot results.
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Oct 6, 2025 - Shell
🐧 Create IPython, Jupyter, matplotlib custom configs in a Pipenv's environment
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May 17, 2019 - Shell
A demo of creating a distribution frequency histogram graph.
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Jun 8, 2024 - Shell
A demo of creating a distribution poisson graph.
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Jun 8, 2024 - Shell
CAMSAI JupyterLite is a lightweight, browser-based environment tailored for AI-driven materials science research. It integrates CAMSAI tools, schemas, and workflows, enabling users to validate data, run simulations, and explore materials science applications without requiring local installation or setup.
python materials chemistry numpy scipy matplotlib materials-science materials-informatics materials-design pyodide jupyterlite
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Dec 13, 2024 - Shell
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