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Remove README note about work in progress
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README.md

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@@ -6,16 +6,12 @@ It enables users to write pure Python code to project graphs, run algorithms, as
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The API is designed to mimic the GDS Cypher procedure API in Python code.
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It abstracts the necessary operations of the [Neo4j Python driver](https://neo4j.com/docs/python-manual/current/) to offer a simpler surface.
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`graphdatascience` is only guaranteed to work with GDS versions 2.0+.
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Please leave any feedback as issues on [the source repository](https://github.com/neo4j/graph-data-science-client).
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Happy coding!
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## NOTE
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This is a work in progress and some GDS features are known to be missing or not working properly (see [Known limitations](#known-limitations) below).
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Further, this library targets GDS versions 2.0+ (not yet released) and as such may not work with older versions.
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## Installation
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To install the latest deployed version of `graphdatascience`, simply run:

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