Add link to SciPy talk to docs (#704)

xCDAT · Oct 2, 2024 · 563e267 · 563e267
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diff --git a/docs/demos.rst b/docs/demos.rst
@@ -16,4 +16,5 @@ This page includes relevant xCDAT presentations, demos, and papers.
  DOE EESM Research Highlight <https://climatemodeling.science.energy.gov/research-highlights/xcdat-python-package-simple-and-robust-analysis-climate-data>
  SciPy 2024 (Abstract) <https://cfp.scipy.org/2024/talk/VRACYW/>
  SciPy 2024 (Presentation Notebook) <demos/24-07-11-scipy-2024/scipy-2024.ipynb>
+ SciPy 2024 (Recorded Talk) <https://www.youtube.com/watch?v=hcUnb_IztSs>
  DOE EESM PI Meeting Presentation <https://climatemodeling.science.energy.gov/presentations/xcdat-xarray-climate-data-analysis-tools-python-package-simple-and-robust-analysis>
diff --git a/docs/demos.yml b/docs/demos.yml
@@ -26,6 +26,10 @@
  path: demos/24-07-11-scipy-2024/scipy-2024.ipynb
  thumbnail: _static/thumbnails/scipy-logo.png
 
+- title: SciPy 2024 (Recorded Talk, 07/11/24)
+ path: https://www.youtube.com/watch?v=hcUnb_IztSs
+ thumbnail: _static/thumbnails/scipy-logo.png
+
 - title: DOE EESM PI Meeting 2024 Presentation (08/08/24)
  path: https://climatemodeling.science.energy.gov/presentations/xcdat-xarray-climate-data-analysis-tools-python-package-simple-and-robust-analysis
  thumbnail: _static/thumbnails/doe-logo.jpg
diff --git a/docs/demos/24-07-11-scipy-2024/scipy-2024.ipynb b/docs/demos/24-07-11-scipy-2024/scipy-2024.ipynb
@@ -155,14 +155,14 @@
  "source": [
  "## An Overview of this Talk\n",
  "\n",
- "__Objective: Learn about the grounds-up development of an open-source Python package targeted at a specific scientific domain__\n",
- "\n",
- "* Driving force behind xCDAT\n",
- "* Scope and mission of xCDAT\n",
- "* Design philosophy and key features\n",
- "* Technical demo of an end-to-end analysis workflow\n",
- "* Parallelism with Dask\n",
- "* How to get involved\n"
+ "**Objective: Learn about the grounds-up development of an open-source Python package targeted at a specific scientific domain**\n",
+ "\n",
+ "- Driving force behind xCDAT\n",
+ "- Scope and mission of xCDAT\n",
+ "- Design philosophy and key features\n",
+ "- Technical demo of an end-to-end analysis workflow\n",
+ "- Parallelism with Dask\n",
+ "- How to get involved\n"
  ]
  },
  {
@@ -175,13 +175,13 @@
  "source": [
  "## The Driving Force Behind xCDAT\n",
  "\n",
- "- Analysis of climate data frequently requires a number of core operations. For example: \n",
- "  - Reading and writing netCDF files\n",
- "  - Regridding\n",
- "  - Spatial and temporal averaging \n",
- "- Highly performant operations to handle the growing volume of climate data \n",
- "  - Larger pool of data products \n",
- "  - Increasing spatiotemporal resolution of model and observational data\n"
+ "- Analysis of climate data frequently requires a number of core operations. For example:\n",
+ " - Reading and writing netCDF files\n",
+ " - Regridding\n",
+ " - Spatial and temporal averaging\n",
+ "- Highly performant operations to handle the growing volume of climate data\n",
+ " - Larger pool of data products\n",
+ " - Increasing spatiotemporal resolution of model and observational data\n"
  ]
  },
  {
@@ -198,10 +198,7 @@
  "<img src=\"../../_static/cdat-logo.png\" alt=\"CDAT logo\" align=\\\"center\\\" style=\"display: inline-block; width:200px;\">\n",
  "</div>\n",
  "\n",
- "- CDAT (Community Data Analysis Tools) library provided open-source climate data analysis and visualization packages for over 20 years\n",
- "\n",
- "\n",
- "\n"
+ "- CDAT (Community Data Analysis Tools) library provided open-source climate data analysis and visualization packages for over 20 years\n"
  ]
  },
  {
@@ -215,8 +212,7 @@
  "### The present-day challenge: **CDAT is end-of-life** as of December 2023\n",
  "\n",
  "- A big issue for users and packages that depend on CDAT\n",
- "- A driving need for new analysis software\n",
- "\n"
+ "- A driving need for new analysis software\n"
  ]
  },
  {
@@ -227,7 +223,7 @@
  }
  },
  "source": [
- " xCDAT addresses this need by **combining the power of Xarray** with **geospatial analysis features inspired by CDAT**."
+ "xCDAT addresses this need by **combining the power of Xarray** with **geospatial analysis features inspired by CDAT**.\n"
  ]
  },
  {
@@ -266,18 +262,16 @@
  "</div>\n",
  "<h2>\"N-D labeled arrays and datasets in Python\"</h2>\n",
  "\n",
- "\n",
  "**Why is Xarray the core technology of xCDAT?**\n",
  "\n",
- "- Mature widely adopted \n",
+ "- Mature widely adopted\n",
  "- Fiscal funding from NumFocus\n",
  "- Introduces labels in the form of dimensions, coordinates, and attributes on top of raw NumPy-like arrays\n",
  "- Intuitive, more concise, and less error-prone user experience\n",
  "\n",
  "<div style=\"text-align: center; margin-top:10px\">\n",
- " <img src=\"../../_static/numfocus-logo.png\" alt=\"NumFocus logo\" align=\\\"center\\\" style=\"display: inline-block; width:200px;\">\n",
- "</div>\n",
- "\n"
+ " <img src=\"../../_static/NumFocus-logo.png\" alt=\"NumFocus logo\" align=\\\"center\\\" style=\"display: inline-block; width:200px;\">\n",
+ "</div>\n"
  ]
  },
  {
@@ -335,8 +329,7 @@
  " <img src=\"../../_static/esmf-logo.png\" alt=\"ESMF logo\" style=\"display: inline-block; margin-right:50px; width:200px;\">\n",
  " <img src=\"../../_static/xgcm-logo.png\" alt=\"xgcm logo\" align=\\\"center\\\" style=\"display: inline-block; margin-right:50px; width:200px;\">\n",
  " <img src=\"../../_static/CF-xarray.png\" alt=\"CF xarray logo\" align=\\\"center\\\" style=\"display: inline-block; margin-right:50px; width:200px;\">\n",
- "</div>\n",
- "\n"
+ "</div>\n"
  ]
  },
  {
@@ -653,7 +646,7 @@
  "3. Horizontal Regridding\n",
  "4. Vertical Regridding\n",
  "5. Spatial Averaging\n",
- "6. Temporal Computations"
+ "6. Temporal Computations\n"
  ]
  },
  {
@@ -773,7 +766,7 @@
  "cell_type": "markdown",
  "metadata": {},
  "source": [
- "Analyzing monthly `tas` (near-sea surface air temperature) data from 2000 to 2014."
+ "Analyzing monthly `tas` (near-sea surface air temperature) data from 2000 to 2014.\n"
  ]
  },
  {
@@ -4805,7 +4798,7 @@
  }
  },
  "source": [
- "#### Calculate the near-surface air temperature (`tas`) in the Niño 3.4 region."
+ "#### Calculate the near-surface air temperature (`tas`) in the Niño 3.4 region.\n"
  ]
  },
  {
@@ -4815,7 +4808,7 @@
  "Users can also specify their own bounds for a region. In this case, we specified `keep_weights=True`.\n",
  "\n",
  "- Full weight for grid cells entirely in the region\n",
- "- Partial weights for grid cells partially in the region"
+ "- Partial weights for grid cells partially in the region\n"
  ]
  },
  {
@@ -5065,7 +5058,7 @@
  "source": [
  "ds_global_anomaly = ds_global.temporal.departures(\n",
  " \"tas\", freq=\"month\", reference_period=(\"2000-01-01\", \"2009-12-31\")\n",
- ") "
+ ")"
  ]
  },
  {
@@ -6340,7 +6333,7 @@
  "</div>\n",
  "\n",
  "- xCDAT is an **extension of Xarray for climate data analysis on structured grids**\n",
- "- Focused on routine **climate research analysis operations** \n",
+ "- Focused on routine **climate research analysis operations**\n",
  "- Designed to encourages **software sustainability and reproducible science**\n",
  "- **Parallelizable** through Xarray’s support for Dask, which enables efficient processing of large datasets\n"
  ]