Difference between revisions of "Data Interoperability"
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* [http://arrow.apache.org/ Apache Arrow] | * [http://arrow.apache.org/ Apache Arrow] | ||
| − | * [[Python#Pandas | Pandas]] | + | * [[Python#Pandas | Pandas]] provides an efficient implementation of a DataFram |
* [[Creatives#Wes McKinney |Wes McKinney]] | * [[Creatives#Wes McKinney |Wes McKinney]] | ||
Revision as of 21:35, 20 July 2019
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- Apache Arrow
- Pandas provides an efficient implementation of a DataFram
- Wes McKinney
a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C/C++, C#, Go, Java, JavaScript, MATLAB, Python, R Project, Ruby, and Rust.
