@@ -8,13 +8,12 @@ tutorials for making maps 🗺️ and animations 🎦
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:::::{grid-item}
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::::{grid} 1 1 1 1
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:::{grid-item-card} Tutorial 1 - First figure 🚀 and Subplots / layout
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- :img-top: _ images/fd70248f75b8b37ee54b3135f77705f98c6d8489eb18b6910184b447d0f0638d.png
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+ :img-top: \ _ images/fd70248f75b8b37ee54b3135f77705f98c6d8489eb18b6910184b447d0f0638d.png
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:link : ./tut01_firstfigure.html
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by [ Jing-Hui Tong] ( https://orcid.org/0009-0002-7195-3071 )
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@@ -29,7 +28,7 @@ by [Jing-Hui Tong](https://orcid.org/0009-0002-7195-3071)
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:::
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:::{grid-item-card} Tutorial 2 - Integration with the scientific Python ecosystem 🐍: pandas and GeoPandas (tabular data 🗒️)
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+ :img-top: \ _ images/7f18327908c8dd210197cc51845e45a933f356b9fd12bd029a4a8cbda080eb2b.png
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:link : ./tut02_spe_pd_gpd.html
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by [ Yvonne Fröhlich] ( https://orcid.org/0000-0002-8566-0619 )
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::::
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:::{grid-item-card} Tutorial 3 - Integration with the scientific Python ecosystem 🐍: Xarray (gridded data 🌐)
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+ :img-top: \ _ images/a18fcb026fb0d0c83360f2b8382a360e552dd50db6aa2db5311259bf5223d3a2.png
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:link : ./tut03_spe_xarray.html
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by [ Max Jones] ( https://orcid.org/0000-0003-0180-8928 )
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:::{grid-item-card} Tutorial 5 - 3-D Topography (Planetary / Antarctic maps)
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+ :img-top: \ _ images/0a6fc097b1fcaa99eff8632dab714787757564ed60e07f20825101c6a8e045ae.png
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:link : ./tut05_topography.html
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by [ Wei Ji Leong] ( https://orcid.org/0000-0003-2354-1988 )
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and [ André Belém] ( https://orcid.org/0000-0002-8865-6180 )
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:::{grid-item-card} Tutorial 6 - Animations with GMT
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:link : ./tut06_animation.html
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by [ Federico Esteban] ( https://orcid.org/0000-0002-0641-7371 )
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Each tutorial is rendered on this website for easy viewing 👀, but they are all Jupyter
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notebooks designed to be ran interactively 💫. See the instructions below on how you can
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start running the tutorials in no time! 🚀
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# 🌠 Quickstart
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To run these notebooks in an interactive Jupyter session online, 🖱️ click on the button
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4 . Run the following commands on the 🧑💻 command-line to create the virtual environment
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- ``` bash
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- cd /path/to/agu24workshop
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- conda env create --name agu24workshop --file environment.yml
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- ```
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+ ``` bash
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+ cd /path/to/agu24workshop
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+ conda env create --name agu24workshop --file environment.yml
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+ ```
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5 . Once the installation is completed 🏁, launch
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[ Jupyter Lab] ( https://jupyterlab.readthedocs.io ) as follows:
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- ` ` ` bash
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- conda activate agu24workshop
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- jupyter lab
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- ` ` `
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+ ``` bash
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+ conda activate agu24workshop
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+ jupyter lab
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+ ```
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This should open up a page in your default browser. If not, you can click and open
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the 🔗 link that says ` http://localhost:8888/lab?token=... ` in your command-line
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https://www.generic-mapping-tools.org/agu24workshop/tut01_firstfigure.html ) using
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either the download button on the ↗️ top right (select '.ipynb') or from GitHub at
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https://github.com/GenericMappingTools/agu24workshop/tree/main/book . Make sure to put
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- the * .ipynb file(s) inside of the ' agu24workshop' folder.
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+ the \ * .ipynb file(s) inside of the 'agu24workshop' folder.
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7 . Open the Jupyter notebook in the left-pane file browser, e.g. by 🖱️ double-clicking
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on ` first-figure.ipynb ` . You are now ready to run through the course materials 🎉!
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