deploy: 984a792

rgommers · rgommers · commit c7e670a8faae · 2024-05-02T14:19:59.000Z
diff --git a/blog/array_api_v2023_release/index.html b/blog/array_api_v2023_release/index.html
@@ -136,7 +136,7 @@ <h1 itemprop="headline">  2023 release of the Array API Standard</h1>
 this year marked a significant milestone in our efforts to facilitate array
 interoperation within the PyData ecosystem, as we witnessed accelerated
 adoption of the standard, especially among downstream libraries, such as
-[SciPy[(https://docs.scipy.org/doc/scipy//dev/api-dev/array_api.html)] and
+<a href="https://docs.scipy.org/doc/scipy//dev/api-dev/array_api.html">SciPy</a>] and
 <a href="https://scikit-learn.org/stable/modules/array_api.html">scikit-learn</a>.</p>
 <h2 id="brief-background">Brief Background</h2>
 <p>For those who are not yet familiar with the Consortium and the Array API
diff --git a/blog/index.xml b/blog/index.xml
@@ -13,7 +13,7 @@
       <pubDate>Mon, 08 Apr 2024 08:00:00 +0000</pubDate>
       
       <guid>https://data-apis.org/blog/array_api_v2023_release/</guid>
-      <description>Another year, another revision of the Array API Standard! We&amp;rsquo;re proud to announce the release of the 2023 revision of the Array API Standard. As was the case for 2022 revision, this release required extensive discussion and collaboration among array libraries and their downstream stakeholders as we continued reaching consensus on unified API design and behavior. We&amp;rsquo;re particularly excited to share that this year marked a significant milestone in our efforts to facilitate array interoperation within the PyData ecosystem, as we witnessed accelerated adoption of the standard, especially among downstream libraries, such as [SciPy[(https://docs.</description>
+      <description>Another year, another revision of the Array API Standard! We&amp;rsquo;re proud to announce the release of the 2023 revision of the Array API Standard. As was the case for 2022 revision, this release required extensive discussion and collaboration among array libraries and their downstream stakeholders as we continued reaching consensus on unified API design and behavior. We&amp;rsquo;re particularly excited to share that this year marked a significant milestone in our efforts to facilitate array interoperation within the PyData ecosystem, as we witnessed accelerated adoption of the standard, especially among downstream libraries, such as SciPy] and scikit-learn.</description>
     </item>
     
     <item>
diff --git a/categories/consortium/index.xml b/categories/consortium/index.xml
@@ -13,7 +13,7 @@
       <pubDate>Mon, 08 Apr 2024 08:00:00 +0000</pubDate>
       
       <guid>https://data-apis.org/blog/array_api_v2023_release/</guid>
-      <description>Another year, another revision of the Array API Standard! We&amp;rsquo;re proud to announce the release of the 2023 revision of the Array API Standard. As was the case for 2022 revision, this release required extensive discussion and collaboration among array libraries and their downstream stakeholders as we continued reaching consensus on unified API design and behavior. We&amp;rsquo;re particularly excited to share that this year marked a significant milestone in our efforts to facilitate array interoperation within the PyData ecosystem, as we witnessed accelerated adoption of the standard, especially among downstream libraries, such as [SciPy[(https://docs.</description>
+      <description>Another year, another revision of the Array API Standard! We&amp;rsquo;re proud to announce the release of the 2023 revision of the Array API Standard. As was the case for 2022 revision, this release required extensive discussion and collaboration among array libraries and their downstream stakeholders as we continued reaching consensus on unified API design and behavior. We&amp;rsquo;re particularly excited to share that this year marked a significant milestone in our efforts to facilitate array interoperation within the PyData ecosystem, as we witnessed accelerated adoption of the standard, especially among downstream libraries, such as SciPy] and scikit-learn.</description>
     </item>
     
     <item>
diff --git a/categories/standardization/index.xml b/categories/standardization/index.xml
@@ -13,7 +13,7 @@
       <pubDate>Mon, 08 Apr 2024 08:00:00 +0000</pubDate>
       
       <guid>https://data-apis.org/blog/array_api_v2023_release/</guid>
-      <description>Another year, another revision of the Array API Standard! We&amp;rsquo;re proud to announce the release of the 2023 revision of the Array API Standard. As was the case for 2022 revision, this release required extensive discussion and collaboration among array libraries and their downstream stakeholders as we continued reaching consensus on unified API design and behavior. We&amp;rsquo;re particularly excited to share that this year marked a significant milestone in our efforts to facilitate array interoperation within the PyData ecosystem, as we witnessed accelerated adoption of the standard, especially among downstream libraries, such as [SciPy[(https://docs.</description>
+      <description>Another year, another revision of the Array API Standard! We&amp;rsquo;re proud to announce the release of the 2023 revision of the Array API Standard. As was the case for 2022 revision, this release required extensive discussion and collaboration among array libraries and their downstream stakeholders as we continued reaching consensus on unified API design and behavior. We&amp;rsquo;re particularly excited to share that this year marked a significant milestone in our efforts to facilitate array interoperation within the PyData ecosystem, as we witnessed accelerated adoption of the standard, especially among downstream libraries, such as SciPy] and scikit-learn.</description>
     </item>
     
     <item>
diff --git a/index.xml b/index.xml
@@ -13,7 +13,7 @@
       <pubDate>Mon, 08 Apr 2024 08:00:00 +0000</pubDate>
       
       <guid>https://data-apis.org/blog/array_api_v2023_release/</guid>
-      <description>Another year, another revision of the Array API Standard! We&amp;rsquo;re proud to announce the release of the 2023 revision of the Array API Standard. As was the case for 2022 revision, this release required extensive discussion and collaboration among array libraries and their downstream stakeholders as we continued reaching consensus on unified API design and behavior. We&amp;rsquo;re particularly excited to share that this year marked a significant milestone in our efforts to facilitate array interoperation within the PyData ecosystem, as we witnessed accelerated adoption of the standard, especially among downstream libraries, such as [SciPy[(https://docs.</description>
+      <description>Another year, another revision of the Array API Standard! We&amp;rsquo;re proud to announce the release of the 2023 revision of the Array API Standard. As was the case for 2022 revision, this release required extensive discussion and collaboration among array libraries and their downstream stakeholders as we continued reaching consensus on unified API design and behavior. We&amp;rsquo;re particularly excited to share that this year marked a significant milestone in our efforts to facilitate array interoperation within the PyData ecosystem, as we witnessed accelerated adoption of the standard, especially among downstream libraries, such as SciPy] and scikit-learn.</description>
     </item>
     
     <item>
diff --git a/tags/apis/index.xml b/tags/apis/index.xml
@@ -13,7 +13,7 @@
       <pubDate>Mon, 08 Apr 2024 08:00:00 +0000</pubDate>
       
       <guid>https://data-apis.org/blog/array_api_v2023_release/</guid>
-      <description>Another year, another revision of the Array API Standard! We&amp;rsquo;re proud to announce the release of the 2023 revision of the Array API Standard. As was the case for 2022 revision, this release required extensive discussion and collaboration among array libraries and their downstream stakeholders as we continued reaching consensus on unified API design and behavior. We&amp;rsquo;re particularly excited to share that this year marked a significant milestone in our efforts to facilitate array interoperation within the PyData ecosystem, as we witnessed accelerated adoption of the standard, especially among downstream libraries, such as [SciPy[(https://docs.</description>
+      <description>Another year, another revision of the Array API Standard! We&amp;rsquo;re proud to announce the release of the 2023 revision of the Array API Standard. As was the case for 2022 revision, this release required extensive discussion and collaboration among array libraries and their downstream stakeholders as we continued reaching consensus on unified API design and behavior. We&amp;rsquo;re particularly excited to share that this year marked a significant milestone in our efforts to facilitate array interoperation within the PyData ecosystem, as we witnessed accelerated adoption of the standard, especially among downstream libraries, such as SciPy] and scikit-learn.</description>
     </item>
     
     <item>
diff --git a/tags/arrays/index.xml b/tags/arrays/index.xml
@@ -13,7 +13,7 @@
       <pubDate>Mon, 08 Apr 2024 08:00:00 +0000</pubDate>
       
       <guid>https://data-apis.org/blog/array_api_v2023_release/</guid>
-      <description>Another year, another revision of the Array API Standard! We&amp;rsquo;re proud to announce the release of the 2023 revision of the Array API Standard. As was the case for 2022 revision, this release required extensive discussion and collaboration among array libraries and their downstream stakeholders as we continued reaching consensus on unified API design and behavior. We&amp;rsquo;re particularly excited to share that this year marked a significant milestone in our efforts to facilitate array interoperation within the PyData ecosystem, as we witnessed accelerated adoption of the standard, especially among downstream libraries, such as [SciPy[(https://docs.</description>
+      <description>Another year, another revision of the Array API Standard! We&amp;rsquo;re proud to announce the release of the 2023 revision of the Array API Standard. As was the case for 2022 revision, this release required extensive discussion and collaboration among array libraries and their downstream stakeholders as we continued reaching consensus on unified API design and behavior. We&amp;rsquo;re particularly excited to share that this year marked a significant milestone in our efforts to facilitate array interoperation within the PyData ecosystem, as we witnessed accelerated adoption of the standard, especially among downstream libraries, such as SciPy] and scikit-learn.</description>
     </item>
     
     <item>
diff --git a/tags/community/index.xml b/tags/community/index.xml
@@ -13,7 +13,7 @@
       <pubDate>Mon, 08 Apr 2024 08:00:00 +0000</pubDate>
       
       <guid>https://data-apis.org/blog/array_api_v2023_release/</guid>
-      <description>Another year, another revision of the Array API Standard! We&amp;rsquo;re proud to announce the release of the 2023 revision of the Array API Standard. As was the case for 2022 revision, this release required extensive discussion and collaboration among array libraries and their downstream stakeholders as we continued reaching consensus on unified API design and behavior. We&amp;rsquo;re particularly excited to share that this year marked a significant milestone in our efforts to facilitate array interoperation within the PyData ecosystem, as we witnessed accelerated adoption of the standard, especially among downstream libraries, such as [SciPy[(https://docs.</description>
+      <description>Another year, another revision of the Array API Standard! We&amp;rsquo;re proud to announce the release of the 2023 revision of the Array API Standard. As was the case for 2022 revision, this release required extensive discussion and collaboration among array libraries and their downstream stakeholders as we continued reaching consensus on unified API design and behavior. We&amp;rsquo;re particularly excited to share that this year marked a significant milestone in our efforts to facilitate array interoperation within the PyData ecosystem, as we witnessed accelerated adoption of the standard, especially among downstream libraries, such as SciPy] and scikit-learn.</description>
     </item>
     
     <item>
diff --git a/tags/consortium/index.xml b/tags/consortium/index.xml
@@ -13,7 +13,7 @@
       <pubDate>Mon, 08 Apr 2024 08:00:00 +0000</pubDate>
       
       <guid>https://data-apis.org/blog/array_api_v2023_release/</guid>
-      <description>Another year, another revision of the Array API Standard! We&amp;rsquo;re proud to announce the release of the 2023 revision of the Array API Standard. As was the case for 2022 revision, this release required extensive discussion and collaboration among array libraries and their downstream stakeholders as we continued reaching consensus on unified API design and behavior. We&amp;rsquo;re particularly excited to share that this year marked a significant milestone in our efforts to facilitate array interoperation within the PyData ecosystem, as we witnessed accelerated adoption of the standard, especially among downstream libraries, such as [SciPy[(https://docs.</description>
+      <description>Another year, another revision of the Array API Standard! We&amp;rsquo;re proud to announce the release of the 2023 revision of the Array API Standard. As was the case for 2022 revision, this release required extensive discussion and collaboration among array libraries and their downstream stakeholders as we continued reaching consensus on unified API design and behavior. We&amp;rsquo;re particularly excited to share that this year marked a significant milestone in our efforts to facilitate array interoperation within the PyData ecosystem, as we witnessed accelerated adoption of the standard, especially among downstream libraries, such as SciPy] and scikit-learn.</description>
     </item>
     
     <item>
diff --git a/tags/standard/index.xml b/tags/standard/index.xml
@@ -13,7 +13,7 @@
       <pubDate>Mon, 08 Apr 2024 08:00:00 +0000</pubDate>
       
       <guid>https://data-apis.org/blog/array_api_v2023_release/</guid>
-      <description>Another year, another revision of the Array API Standard! We&amp;rsquo;re proud to announce the release of the 2023 revision of the Array API Standard. As was the case for 2022 revision, this release required extensive discussion and collaboration among array libraries and their downstream stakeholders as we continued reaching consensus on unified API design and behavior. We&amp;rsquo;re particularly excited to share that this year marked a significant milestone in our efforts to facilitate array interoperation within the PyData ecosystem, as we witnessed accelerated adoption of the standard, especially among downstream libraries, such as [SciPy[(https://docs.</description>
+      <description>Another year, another revision of the Array API Standard! We&amp;rsquo;re proud to announce the release of the 2023 revision of the Array API Standard. As was the case for 2022 revision, this release required extensive discussion and collaboration among array libraries and their downstream stakeholders as we continued reaching consensus on unified API design and behavior. We&amp;rsquo;re particularly excited to share that this year marked a significant milestone in our efforts to facilitate array interoperation within the PyData ecosystem, as we witnessed accelerated adoption of the standard, especially among downstream libraries, such as SciPy] and scikit-learn.</description>
     </item>
     
     <item>
