Comments (4)
One issue in the Cloud setup is the launching server. We used to have three servers: the pims syzygy, ubc syzygy, and google colab, and the first instruction in the current Cloud setup (including screenshots) is based on the pims syzygy. The servers available now are google colab, and the binderhub, the interface of which looks slightly different.
If we don't want to use the syzygy servers anymore, then the instructions and the screenshots need to be updated
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For lecture Local installation, there are at least the following that we should update:
- The latest Python version is 3.9 and the current version is based on the 2019 launch.
- Screenshot for Downloading the QuantEcon Data Science Lectures (the clone button)
- The path for git clone
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Removed syzygy mention, screenshots waiting on new theme
from lecture-datascience.myst.
See #95 for updates related to the servers
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Related Issues (20)
- Update the baseurl in config.yml before going live HOT 1
- [environment] Missing Data Files causing Execution Issues HOT 16
- Remaining functions calling `qeds` HOT 10
- Invalid tex in regression lecture (and others?) HOT 6
- Missing automatic kernel selection for the jupyter notebooks in codespaces HOT 1
- Add devcontainer for the notebook repo to source control (for codespaces and vscode remote options) HOT 4
- KaTeX parse error in heterogeneity lecture HOT 1
- Add in a vscode badge in the the theme HOT 5
- regression.md breaks in scikit-learn 1.0
- BUG: Downloading pages as ipynb files does not work HOT 4
- ENH: Enable book style PDF HOT 7
- Error in creating conda environment for this repo HOT 1
- Exercise Solutions HOT 3
- Bug report on the pandas merge lecture HOT 6
- BUG: Issue with builds for data science lecture HOT 3
- BUG: Notebook launcher references "master" in .notebooks repo HOT 1
- Reliance on third-party servers for lectures involving web data HOT 1
- BUG: Table Image in groupby lecture out of date
- Tiny Issues in Pandas Section HOT 1
- Difference in build success across branches? HOT 7
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