Installs numpy, pandas, matplotlib and jupyter-notebook

📚 Open source documentation written during @droxey's tenure as an instructor at UC Berkeley. No copyrighted in-class materials are provided here.

Large-scale Data Analysis supplementary material.

🐧 Example of IPython/Jupyter/matplotlib custom configs in a Pipenv's environment

matplotlib style file to mimic Kaleidagraph line/scatter plots

A demo of creating a 3d scatter parametric curve graph.

A demo of creating a neural network for trends and predictions.

A demo of creating a cos regression line graph.

A demo of creating a line graph.

A POC for showing pandas

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.

A demo of creating a cubic regression line graph.

A demo of creating a 3d distribution cumulative graph.

A demo of creating a distribution normal graph.

A demo of creating a quadradic regression line graph.

A demo of creating a tan regression line graph.

A demo of creating a 3d surface graph.

⛔️ Conda Installers for psyplot

A demo of creating a box graph.