This is docker image for Python3, Jupyter and Octave, based on alpine linux
Useful packages included:
Pandas: import data via a url and create a dataframe to easily handle data for analysis and graphing. See examples of using Pandas here: https://plot.ly/pandas/.
NumPy: a package for scientific computing with tools for algebra, random number generation, integrating with databases, and managing data. See examples of using NumPy here: https://plot.ly/numpy/.
SciPy: a Python-based ecosystem of packages for math, science, and engineering.
Plotly: a graphing library for making interactive, publication-quality graphs. See examples of statistic, scientific, 3D charts, and more here: https://plot.ly/python.