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Copy file name to clipboardExpand all lines: web/pandas/community/ecosystem.md
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@@ -378,7 +378,7 @@ ArcticDB is structured to provide a scalable and efficient way to manage and ret
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-`Object Store` Collections of libraries. Used to separate logical environments from each other. Analogous to a database server.
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-`Library` Contains multiple symbols which are grouped in a certain way (different users, markets, etc). Analogous to a database.
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-`Symbol` Atomic unit of data storage. Identified by a string name. Data stored under a symbol strongly resembles a Pandas DataFrame. Analogous to tables.
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-`Symbol` Atomic unit of data storage. Identified by a string name. Data stored under a symbol strongly resembles a pandas DataFrame. Analogous to tables.
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-`Version` Every modifying action (write, append, update) performed on a symbol creates a new version of that object.
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#### Installation
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write_record = lib.write("test", df)
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```
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> **Note:** When writing Pandas DataFrames, ArcticDB supports the following index types:
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> **Note:** When writing pandas DataFrames, ArcticDB supports the following index types:
ArcticDB also supports appending, updating, and querying data from storage to a Pandas DataFrame. Please find more information [here](https://docs.arcticdb.io/latest/api/query_builder/).
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ArcticDB also supports appending, updating, and querying data from storage to a pandas DataFrame. Please find more information [here](https://docs.arcticdb.io/latest/api/query_builder/).
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