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# Description Fixes: #12726 and #13185 Previously converting columns that contained null caused polars to force a dtype of object even when using a schema. Now: 1. When using a schema, the type the schema defines for the column will always be used. 2. When a schema is not used, the previous type is used when a value is null. # User-Facing Changes - The type defined by the schema we be respected when passing in a null value `[a]; [null] | polars into-df -s {a: str}` will create a df with an str dtype column with one null value versus a column of type object. - *BREAKING CHANGE* If you define a schema, all columns must be in the schema.
Nushell core libraries and plugins
These sub-crates form both the foundation for Nu and a set of plugins which extend Nu with additional functionality.
Foundational libraries are split into two kinds of crates:
- Core crates - those crates that work together to build the Nushell language engine
- Support crates - a set of crates that support the engine with additional features like JSON support, ANSI support, and more.
Plugins are likewise also split into two types:
- Core plugins - plugins that provide part of the default experience of Nu, including access to the system properties, processes, and web-connectivity features.
- Extra plugins - these plugins run a wide range of different capabilities like working with different file types, charting, viewing binary data, and more.