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]] provides an efficient implementation of a | + | * [[Python#Pandas | Pandas]] provides an efficient implementation of a DataFrame |
* [[Creatives#Wes McKinney |Wes McKinney]] | * [[Creatives#Wes McKinney |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 [[Other Coding options#C/C++ | C/C++]], C#, [[Other Coding options#Go | Go]], [[Other Coding options#Java | Java]], [[JavaScript]], MATLAB, [[Python]], [[R Project]], Ruby, and Rust. | + | 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 [[Analytics | analytic] operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include [[Other Coding options#C/C++ | C/C++]], C#, [[Other Coding options#Go | Go]], [[Other Coding options#Java | Java]], [[JavaScript]], MATLAB, [[Python]], [[R Project]], Ruby, and Rust. |
<youtube>7HiwzHWiF20</youtube> | <youtube>7HiwzHWiF20</youtube> | ||
Revision as of 15:52, 31 December 2019
YouTube search... Quora search... ...Google search
- Apache Arrow
- Pandas provides an efficient implementation of a DataFrame
- 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 [[Analytics | 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.
