Difference between revisions of "Data Interoperability"
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|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | ||
}} | }} | ||
| − | [http://www.youtube.com/results?search_query=Apache Arrow project YouTube search...] | + | [http://www.youtube.com/results?search_query=Apache+Arrow+project+Data+Interoperability YouTube search...] |
| − | [http://www.quora.com/search?q=Apache Arrow project Quora search...] | + | [http://www.quora.com/search?q=Apache+Arrow+project+Data+Interoperability Quora search...] |
| − | [http://www.google.com/search?q=Apache Arrow project ...Google search] | + | [http://www.google.com/search?q=Apache+Arrow+project+Data+Interoperability ...Google search] |
| + | * [http://arrow.apache.org/ Apache Arrow] | ||
* [[Python#Pandas | Pandas]] | * [[Python#Pandas | Pandas]] | ||
| − | |||
* [[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 C, C++, C#, [[Other Coding options#Go | Go]], Java, [[JavaScript]], MATLAB, [[Python]], [[R Project]], Ruby, and Rust. | ||
<youtube>7HiwzHWiF20</youtube> | <youtube>7HiwzHWiF20</youtube> | ||
<youtube>tvmX8YAFK80</youtube> | <youtube>tvmX8YAFK80</youtube> | ||
| + | <youtube>uZA55cGDaBQ</youtube> | ||
| + | <youtube>iPjd6gVLQQM</youtube> | ||
Revision as of 21:25, 20 July 2019
YouTube search... Quora search... ...Google search
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.
