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new c12899b Update manual.md (#539)
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commit c12899b979f4195788e4d69047fc2c2cd1f81e71
Author: Douglas Bates <[email protected]>
AuthorDate: Fri Dec 20 12:46:05 2024 -0600
Update manual.md (#539)
Spelling correction
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docs/src/manual.md | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/docs/src/manual.md b/docs/src/manual.md
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The goal of this documentation is to provide a brief introduction to the arrow
data format, then provide a walk-through of the functionality provided in the
Arrow.jl Julia package, with an aim to expose a little of the machinery "under
the hood" to help explain how things work and how that influences real-world
use-cases for the arrow data format.
-The best place to learn about the Apache arrow project is [the website
itself](https://arrow.apache.org/), specifically the data format
[specification](https://arrow.apache.org/docs/format/Columnar.html). Put
briefly, the arrow project provides a formal speficiation for how columnar,
"table" data can be laid out efficiently in memory to standardize and maximize
the ability to share data across languages/platforms. In the current
[apache/arrow GitHub repository](https://github.com/apache/ [...]
+The best place to learn about the Apache arrow project is [the website
itself](https://arrow.apache.org/), specifically the data format
[specification](https://arrow.apache.org/docs/format/Columnar.html). Put
briefly, the arrow project provides a formal specification for how columnar,
"table" data can be laid out efficiently in memory to standardize and maximize
the ability to share data across languages/platforms. In the current
[apache/arrow GitHub repository](https://github.com/apache [...]
The [Arrow.jl](https://github.com/apache/arrow-julia) Julia package is another
implementation, allowing the ability to both read and write data in the arrow
format. As a data format, arrow specifies an exact memory layout to be used for
columnar table data, and as such, "reading" involves custom Julia objects
([`Arrow.Table`](@ref) and [`Arrow.Stream`](@ref)), which read the *metadata*
of an "arrow memory blob", then *wrap* the array data contained therein, having
learned the type and si [...]
