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 | ||
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| − | [ | + | [https://www.youtube.com/results?search_query=Apache+Arrow+project+Data+Interoperability YouTube search...] |
| − | [ | + | [https://www.quora.com/search?q=Apache+Arrow+project+Data+Interoperability Quora search...] |
| − | [ | + | [https://www.google.com/search?q=Apache+Arrow+project+Data+Interoperability ...Google search] |
| − | * [ | + | * [https://arrow.apache.org/ Apache Arrow] |
* [[Python#Pandas | Pandas]] provides an efficient implementation of a DataFrame | * [[Python#Pandas | Pandas]] provides an efficient implementation of a DataFrame | ||
* [[Creatives#Wes McKinney |Wes McKinney]] | * [[Creatives#Wes McKinney |Wes McKinney]] | ||
Revision as of 20:57, 28 January 2023
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 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.
