Tip
A reproducible cloud environment will be shared with participants on the day of the workshop, so no setup steps are required. However, this document provides suggestions for those who wish to install the dependencies locally on their own machines.
There are several different ways you can install Python and set up your computing environment. Here, I am illustrating my personal preference.
(I am using computers running macOS, but this workflow is similar for Linux machines and may work for other operating systems as well.)
Download miniforge from the GitHub repository here.
Depending on your operating system, this should download either an .sh
(macOS, Linux) or .exe
file (Windows).
For the .sh
file, open your command line terminal and execute the following command
sh ~/Desktop/Miniforge3-MacOSX-arm64.sh
where Desktop/
is the folder where the Miniforge installer was downloaded to. On your computer, you may have to replace it with Downloads/
.
Next, step through the download instructions, confirming with "Enter".
After the installation was successfully completed, I recommend creating a new virtual environment called dl-fundamentals
, which you can do by executing
conda create -n dl-workshop python=3.9
Next, activate your new virtual environment (you have to do it every time you open a new terminal window or tab):
conda activate dl-workshop
If you want to style your terminal similar to mine so that you can see which virtual environment is active, check out the Oh My Zsh project.
To install new Python libraries, you can now use the conda
package installer. For example, you can install JupyterLab and watermark as follows:
conda install jupyterlab watermark
You can also still use pip
to install libraries. By default, pip
should be linked to your new dl-workshop
conda environment:
Any questions? Please feel free to reach out in the Discussion Forum.