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add mermaid extension #56

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2 changes: 2 additions & 0 deletions book/_config.yml
Original file line number Diff line number Diff line change
Expand Up @@ -54,6 +54,8 @@ repository:
bibtex_bibfiles:
- references.bib
sphinx:
extra_extensions:
- sphinxcontrib.mermaid
config:
bibtex_reference_style: author_year # or label, super, \supercite
nb_merge_streams: true # stdout lines combined in output
Expand Down
48 changes: 21 additions & 27 deletions book/presentations/hackweek/dask_gridding.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -94,7 +94,7 @@
"- `numba` can convert many Python functions to make them run faster\n",
"- `pyproj` is a database and suite of algorithms for converting between geospatial coordinate reference systems\n",
"\n",
"[SatPy](https://satpy.readthedocs.io/) is another Python package that could be useful for the processing demonstrated in this notebok, especially through its [Pyresample](https://pyresample.readthedocs.io/) toolking. SatPy requires dedicated readers for any given instrument, however, and no readers have been created for PACE.\n",

Check failure on line 97 in book/presentations/hackweek/dask_gridding.ipynb

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notebok ==> notebook
"\n",
"Yet another package we are skipping over is [rasterio](https://rasterio.readthedocs.io/), which is a high-level wrapper for GDAL. Unfortuneately, the GDAL tooling for using \"warp\" with geolocation arrays has not been released in `rasterio.warp`.\n",
"\n",
Expand Down Expand Up @@ -732,7 +732,7 @@
"outputs": [
{
"data": {
"image/png": "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",

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te ==> the, be, we, to

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fPr ==> for, far, fps

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te ==> the, be, we, to

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uEs ==> yes, use

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te ==> the, be, we, to
"text/plain": [
"<Figure size 800x400 with 2 Axes>"
]
Expand All @@ -755,7 +755,7 @@
"id": "488521b6",
"metadata": {},
"source": [
"When we get to opening mulitple datasets, we will use a helper function to prepare the datasets for concatenation."

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mulitple ==> multiple
]
},
{
Expand Down Expand Up @@ -861,7 +861,7 @@
"metadata": {},
"source": [
"The for-loop in that example could be replaced with a compiled function that calculates the mean of a range.\n",
"Python is an interpretted language; there is no step during evaluation that compiles code written in Python\n",

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interpretted ==> interpreted
"to a lower-level language for your operating system. However, we can call functions from packages that\n",
"are already compiled, such as the `numpy.mean` function. In fact, we can even use the `numba` \"just-in-time\"\n",
"compiler to make our own compiled functions."
Expand Down Expand Up @@ -1116,7 +1116,7 @@
"The split-apply-combine framework is everywhere in data processing. A simple case is computing group-wise means on a dataset where one variable defines the group and another variable is what you need to average for each group.\n",
"\n",
"1. **split**: divide the array into smaller arrays, one for each group\n",
"2. **apply**: calculte the mean\n",

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calculte ==> calculate
"3. **combine**: reassemble the results into a single (smaller due to aggregation) dataset\n",
"\n",
"The same framework is also used without a natural group by which a dataset should be divided. The split is on equal-sized slices of the original dataset, which we call \"chunks\". Rather than a group-wise mean, you could use \"chunk-apply-combine\" to calculate the grand mean in chunks\n",
Expand All @@ -1135,7 +1135,7 @@
"id": "043dea79",
"metadata": {},
"source": [
"```mermaid\n",
"```{mermaid}\n",
"flowchart LR\n",
"\n",
"A(random.normal) -->|array| B(mean_and_std)\n",
Expand Down Expand Up @@ -1258,7 +1258,7 @@
"id": "16abcee5",
"metadata": {},
"source": [
"```mermaid\n",
"```{mermaid}\n",
"%%{ init: { 'flowchart': { 'curve': 'monotoneY' } } }%%\n",
"\n",
"flowchart LR\n",
Expand Down Expand Up @@ -5518,12 +5518,6 @@
}
],
"metadata": {
"jupytext": {
"text_representation": {
"extension": ".py",
"format_name": "light"
}
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
Expand All @@ -5539,7 +5533,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.14"
"version": "3.11.9"
},
"widgets": {
"application/vnd.jupyter.widget-state+json": {
Expand Down Expand Up @@ -5878,13 +5872,13 @@
"description": "",
"description_allow_html": false,
"layout": "IPY_MODEL_0fa5bd2afbaa4106b479092d5eba9adc",
"max": 1.0,
"min": 0.0,
"max": 1,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_4a289586dcfa43d0a7fc77951d9b774f",
"tabbable": null,
"tooltip": null,
"value": 1.0
"value": 1
}
},
"215deebb88ab419989ff45cf9aedaf93": {
Expand Down Expand Up @@ -6893,13 +6887,13 @@
"description": "",
"description_allow_html": false,
"layout": "IPY_MODEL_1ddf698861fa47d385124fb6ee5e56d8",
"max": 10.0,
"min": 0.0,
"max": 10,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_9b1f4e56e9ff4251a9e6134489c99af3",
"tabbable": null,
"tooltip": null,
"value": 10.0
"value": 10
}
},
"84e71d15d9f74a54a7f98cf69458ba4a": {
Expand Down Expand Up @@ -7052,13 +7046,13 @@
"description": "",
"description_allow_html": false,
"layout": "IPY_MODEL_294d05f74abf4ca0aa6993798c0f9315",
"max": 10.0,
"min": 0.0,
"max": 10,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_a8aea866d4134d4c93e696440c3e8834",
"tabbable": null,
"tooltip": null,
"value": 10.0
"value": 10
}
},
"b2fa6f8bf8c54b458e6db0f3e8ac0497": {
Expand Down Expand Up @@ -7292,13 +7286,13 @@
"description": "",
"description_allow_html": false,
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Expand Down Expand Up @@ -7447,13 +7441,13 @@
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Expand Down Expand Up @@ -7672,13 +7666,13 @@
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