Add codespell pre-commit and fix typos (#451)

Author: jarrodmillman

.pre-commit-config.yaml

@@ -41,6 +41,13 @@ repos:
       - id: pyupgrade
         args: [--py38-plus]
 
+  - repo: https://github.com/codespell-project/codespell
+    rev: "v2.2.5"
+    hooks:
+      - id: codespell
+        args:
+          ["-L", "recuse,nd,coo", "-w", "--skip=static/teams/bots-graphs.html"]
+
 ci:
   autofix_prs: false
   autofix_commit_msg: "[pre-commit.ci 🤖] Apply code format tools to PR"

config.yaml

@@ -78,7 +78,7 @@ params:
         text: |
           One of our current focuses is on improving and maintaining the
           [sparse array]({{< relref "/grants/sparse_arrays/" >}}) capabilities and
-          inter-operability in the ecosystem.
+          interoperability in the ecosystem.
       - title: Community
         text: |
           Our [community efforts]({{< relref "/community" >}}) focus

content/about/_index.md

@@ -64,7 +64,7 @@ and documentation is released under the [CC-BY](https://creativecommons.org/lice
   Learn or teach how to use the scientific Python ecosystem with [classroom-style lecture notes](https://lectures.scientific-python.org).
 - **Sparse Arrays**
   One of our current focuses is on improving and maintaining the
-  sparse array capabilities and inter-operability in the ecosystem.
+  sparse array capabilities and interoperability in the ecosystem.
 - **Community**
   Our [community efforts]({{< relref "/community" >}}) focus
   on broadening participation and better coordinating volunteer efforts.

content/summits/developer/2023/_index.md

@@ -229,4 +229,4 @@ The Scientific Python project also has funding to further develop some of these
 - [May 15, SPECs](https://hackmd.io/MmbP4VTATyG129_U56xdJQ)
 - [May 18, Community & Documentation](https://hackmd.io/YL5DNtsaSsS-1ZU3Pxkrxg)
 - [May 19, Build Systems & CI Infrastructure](https://hackmd.io/0M1Yh7KwTnaXSsU14BiyQw)
-- [May 19, PyTest plugins & Sphinx extentions](https://hackmd.io/JL5slkxORA-q7VRN79v1sA)
+- [May 19, PyTest plugins & Sphinx extensions](https://hackmd.io/JL5slkxORA-q7VRN79v1sA)

content/summits/sparse/array-followup-2023-06-17.md

@@ -33,11 +33,11 @@ title: "Summit Follow Up June 17"
     - CJ's fork, make PRs onto branch there
     - Using the view on the diff on GitHub might prevent the creation of spurious Draft PR
   - Dense pretending to be sparse can be ephermeral, never needs to go to scipy
-  - Dan will make a branch for exploration that people can fork and make PRs to. Dan will try to keep it uptodate with the main branch too.
+  - Dan will make a branch for exploration that people can fork and make PRs to. Dan will try to keep it up-to-date with the main branch too.
 - 1d sparse array support
-  Timeline? - Dan + CJ working on it - Targetting 1.12
+  Timeline? - Dan + CJ working on it - Targeting 1.12
 - nd sparse array support
-  - Julien, CJ: seems like low priority and this would be a huge maintainance cost SciPy for relatively rare use-cases
+  - Julien, CJ: seems like low priority and this would be a huge maintenance cost SciPy for relatively rare use-cases
   - CJ: Array api makes interop easier, we can lean on external packages for now
 - creation functions [scipy#18592](https://github.com/scipy/scipy/issues/18592)
   - Want to get them out in a single release
@@ -56,7 +56,7 @@ title: "Summit Follow Up June 17"
       - Personally would like scikit-learn to follow SPEC 0
       - See discussion for [1.3](https://github.com/scikit-learn/scikit-learn/issues/26438)
       - [Dedicated RFC](https://github.com/scikit-learn/scikit-learn/issues/26418)
-      - Some part of scikit-learn's behavior depends on SciPy's version (e.g. see [this one](https://github.com/scikit-learn/scikit-learn/blob/784ba9ef9f65d5e4e33087dd7f5b87d65b605efc/sklearn/preprocessing/_polynomial.py#L61-L73)); we might potentialy rely on similar mechanism for the support of sparse arrays (e.g. reshaping outputs)
+      - Some part of scikit-learn's behavior depends on SciPy's version (e.g. see [this one](https://github.com/scikit-learn/scikit-learn/blob/784ba9ef9f65d5e4e33087dd7f5b87d65b605efc/sklearn/preprocessing/_polynomial.py#L61-L73)); we might potentially rely on similar mechanism for the support of sparse arrays (e.g. reshaping outputs)
       - scikit-learn uses nightly builds to test the developer version of SciPy and NumPy and failing tests are updated in [this issue](https://github.com/scikit-learn/scikit-learn/issues/26154). We can watch those for breakage in scikit-learn when we make changes in SciPy.
 - General speed ups
   - "Fast path for canonical"