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Reactive Python for data science : push-based data analysis with RxPy /
"Reactive programming is shaping the future of how we model data. With reactive, not only can you concisely wrangle and analyze static data, you can effectively work with data as a real-time infinite feed. Reactive Extensions (Rx) first gained traction in 2009 and has been ported to over a doze...
| Call Number: | Libro Electrónico |
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| Other Authors: | |
| Format: | Electronic Video |
| Language: | Inglés |
| Published: |
[Place of publication not identified] :
O'Reilly,
[2016]
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| Subjects: | |
| Online Access: | Texto completo (Requiere registro previo con correo institucional) |