Create 1st sparse summit stub (scientific-python#280)

* Create 1st sparse summit stub

* Update content/summits/_index.md

Co-authored-by: Ross Barnowski <[email protected]>

* Just list title in TOC

* Add link to grant proposal

Co-authored-by: Ross Barnowski <[email protected]>

Author: jarrodmillman

config.yaml

@@ -113,10 +113,10 @@ params:
       column2:
         title: "Maintainers"
         links:
+          - text: Summits
+            link: /summits/
           - text: SPECs
             link: /specs/
-          - text: Grants
-            link: /grants/
           - text: Calendars
             link: /calendars
       column3:

content/summits/_index.md

@@ -1,4 +1,11 @@
 ---
 title: "Summits"
-date: 2020-12-17T20:14:42-08:00
+date: 2022-08-04
 ---
+
+The developer summits address topics of interest across several packages (e.g.,
+sparse arrays, benchmarking, packaging, teaching, specific science domains).
+The summits are recorded and shared on our youtube channel under the
+[“Developer Discussions” playlist](https://www.youtube.com/playlist?list=PL7rNFJDy0iz5GGSmRQNMO-qF6PUG3YsQx).
+
+To discuss upcoming summits or suggest potential summit topics, see the [summits category in the discussion forum](https://discuss.scientific-python.org/c/summits/27).

content/summits/sparse/_index.md

@@ -0,0 +1,13 @@
+---
+title: "Sparse Data"
+---
+
+Sparse data refers to datasets where a high percentage of the values are zero or empty.
+This happens when relationships across dimensions (e.g., rows and columns) don't exist or are neglected.
+Sparse datasets are ubiquitous in modern scientific computing, including network analysis, signal processing, image processing, machine learning, etc.
+There exist many sparse data formats which save memory by only storing non-zero values, yet still allow efficient computation and manipulation.
+
+Recently, a [sparse array API](https://github.com/scipy/scipy/pull/14822) was added to `scipy.sparse` as a first step in removing the sparse matrix API and eventually `np.matrix`.
+This effort is complimentary to work being done on the [PyData sparse](https://sparse.pydata.org/en/stable/index.html) package, which provides n-dimensional sparse data structures that support array semantics appropriate for Numba compiled code.
+
+The summits bring together developers and users of sparse arrays to discuss shortcomings of the current implementations, the needs of various scientific communities, and to develop a shared roadmap and vision for better supporting sparse arrays.

content/summits/sparse/meeting1.md

@@ -0,0 +1,31 @@
+---
+title: "Meeting 1"
+---
+
+## Information
+
+- Date: TBD (tentatively planned for September 2022)
+- Discord / Zoom information: TBD
+
+## Participants
+
+- Jarrod Millman
+- Stéfan van der Walt
+- Ross Barnowski
+- Dan Schult
+
+## Agenda
+
+Each topic should start with a brief 2-5 minute presentation followed by a 5-8 minute discussion.
+
+- (10 min) Jarrod and Stéfan discuss purpose of summit and goals (10 min)
+
+- Topics
+
+  - (10 min) Dan and Ross will talk about the SciPy Sparse Array Interface
+    (see this [grant proposal](../../../doc/sparse-arrays-grant-2022.pdf)).
+  - (10 min)
+  - (10 min)
+  - (10 min)
+
+- (10 min) Jarrod and Stéfan lead discussion about next steps.

layouts/summits/section.html

@@ -0,0 +1,29 @@
+{{ define "main" }}
+
+<section class="content-padding flex-row">
+<div class="shortcuts-container">
+  <div class="shortcuts-title"><img src="/images/icons/list-bulleted.svg"/>On this page</div>
+  <div id="shortcuts"></div>
+</div>
+<div class="content-container">
+  <div class="columns">
+    <div class="column is-centered-tablet-portrait">
+      <h1 class="title section-title">{{ .Title }}</h1>
+      <h5 class="subtitle is-5 is-muted">{{ .Params.Subtitle }}</h5>
+      <div class="divider"></div>
+    </div>
+  </div>
+  {{ if .Content }}
+  {{ .Content }}
+  {{ range .Pages }}
+  <div class="post-list">
+    <article>
+      <div class="post-title"><a href="{{ .RelPermalink }}">{{ .Title }}</a></div>
+    </article>
+  </div>
+  {{ end }}
+  {{ end }}
+</div>
+</section>
+
+{{ end }}