Here are the commands required to reproduce the environment for running solutions on an Apple device with an Apple Silicon processor. The editor and language options available are: VS code Python, Julia, R, LaTex, Quarto markdown, Fortran Jupyter Lab Python,
Here are the commands required to reproduce the environment for running solutions on an Apple device with an Intel processor. The editor and language options available are: VS code Python, Julia, R, LaTeX, Quarto markdown, Fortran Jupyter Lab Python, Julia,
Here are the commands required to reproduce the environment for running solutions on a Linux system The editor and language options available are: VS code Python, Julia, R Jupyter Lab Python, Julia, R, Octave, gnu plot Pluto notebook Julia Octave
Here are the commands required to reproduce the environment for running solutions on a Raspberry Pi Single Board Computer The editor and language options available are: VS Code Python, Julia, R, Wolfram Jupyter Lab Python, Julia, R, Wolfram, Octave, SciLab,
Here are the commands required to reproduce the environment for running solutions on a Linux system The editor and language options available are: VS code Python, Julia, R Jupyter Lab Python, Julia, R, Octave, gnu plot Pluto notebook Julia Octave
Here are the commands required to reproduce the environment for running solutions on a Raspberry Pi Single Board Computer The editor and language options available are: VS Code Python, Julia, R, Wolfram Jupyter Lab Python, Julia, R, Wolfram, Octave SciLab
Here are the commands required to reproduce the environment for running solutions on an Apple device with an Apple Silicon processor. The editor and language options available are: VS code Python, Julia, R, LaTex, Quarto markdown, Fortran, Wolfram Jupyter Lab
Here are the commands required to reproduce the environment for running solutions on an Apple device with an Intel processor. The editor and language options available are: VS code Python, Julia, R, LaTeX, Quarto markdown, Fortran, Wolfram Jupyter Lab Python,
A first look at the recently delivered JingPad shows that some data science kernels can be configured in Jupyter Notebooks. The Record of Installation is here The Youtube video showing the Python, Julia, Octave and R kernels running is here
Recently received a Nexdock 360 which is well known as an accessory to turn Samsung phones into Dex laptops and as the peripherals for Raspberry Pi based products. What is less well know is that it can be a screen,