Post 2.0.1 release actions done

[datasette-pytables.git] / ANNOUNCE.md

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-# Announcing datasette-pytables 1.0.3
+# Announcing datasette-pytables 2.0.1
 
 ## What's new
 
-This new release of datasette-pytables fix a compatibility problem with the last versions of Mozilla SQL Parser, which is used by datasette-pytables for translating queries from SQL to NumExpr syntax.
+This new release of datasette-pytables uses datasette-connectors 2.0.1, which provides the last Datasette version with design and security improvings and many changes in its API. The main change for datasette-pytables users is that percent character has to be used instead slash for table names when writing queries in the Datasette query editor.
 
 ## What it is
 
-Datasette-PyTables provides a web interface and a JSON API for [PyTables](https://github.com/PyTables/PyTables) files, allowing them to be accessible for e.g. Javascript programs. It works in conjunction with [Datasette-Core](https://github.com/PyTables/datasette-core), a trivial fork of the original [Datasette](https://github.com/simonw/datasette), which provides a web interface for SQLite files.  This fork is able to work with SQLite files, like the original project, but can accept external connectors for any kind of database files, so you can develop your own connector for your favourite data container if you want (read [developers doc](https://github.com/PyTables/datasette-pytables/blob/master/DEVELOPERS.md)).
+Datasette-PyTables provides a web interface and a JSON API for [PyTables](https://github.com/PyTables/PyTables) files, allowing them to be accessible for e.g. Javascript programs. It works in conjunction with [Datasette-Connectors](https://github.com/PyTables/datasette-connectors), a module that patches [Datasette](https://github.com/simonw/datasette), which provides a web interface for SQLite files. With this patch, it's possible to work with SQLite files in the usual way but external connectors are accepted for any kind of database files, so you can develop your own connector for your favourite data container if you want (read [developers doc](https://github.com/PyTables/datasette-connectors/blob/master/DEVELOPERS.md)).
 
 ## Resources