Apply suggestions from code review

Co-authored-by: Alan Liddell <[email protected]>

Author: melissawm

docs/index.md

@@ -11,7 +11,7 @@ Cloud-native file streaming solutions (e.g. file writers) are essential for buil
 workflows, especially when acquiring more data than fits into memory or a single external hard drive.
 [Zarr](https://zarr-specs.readthedocs.io/en/latest/specs.html) is a cloud-native data format that supports imaging data
 and has strong early adoption within the imaging community. The [Acquire project](https://github.com/acquire-project) developed
-this standalone Zarr streaming library with bindings in both python and C. This library easily integrates into custom
+this standalone Zarr streaming library with interfaces in both Python and C. This library easily integrates into custom
 acquisition workflows since it does not rely on runtime or hardware support.
 
 ## Installation

overrides/home_zarr.html

@@ -54,7 +54,7 @@
             <!-- Hero content -->
             <div class="mdx-hero__content">
                 <h1>Acquire Zarr Streaming</h1>
-                <p>The <code>acquire-zarr</code> library provides bindings in Python and C for streaming chunked, compressed,
+                <p>The <code>acquire-zarr</code> library provides interfaces in Python and C for streaming chunked, compressed,
                    multiscale data with <a href="https://ngff.openmicroscopy.org/latest/">OME-NGFF</a> metadata to
                    <a href="https://zarr.readthedocs.io/en/stable/spec/v2.html">Zarr v2</a> and
                    <a href="https://zarr-specs.readthedocs.io/en/latest/v3/core/v3.0.html">Zarr v3</a>.</p>