riptable | 64bit multithreaded python data analytics tools for numpy | Data Manipulation library
kandi X-RAY | riptable Summary
kandi X-RAY | riptable Summary
All in one, high performance 64 bit python analytics engine for numpy arrays with multithreaded support. Support for Python 3.6, 3.7, 3.8 on 64 bit Linux, Windows, and Mac OS. Enhances or replaces numpy, pandas, and includes high speed cross platform SDS file format. RipTable can often crunch numbers at 1.5x to 10x the speed of numpy or pandas. Maximum speed is achieved through the use of vector instrinsics: hand rolled loops, using AVX-256 with AVX-512 support coming; parallel computing: for large arrays, multiple threads are deployed; recycling: built in array garbage collection; hashing and parallel sorts for core algorithms.
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Top functions reviewed by kandi - BETA
- Wrapper for ufunc_u .
- Create a new result table .
- Return a string for autocomplete .
- Merge two datasets .
- Create a new Dataset .
- Apply a function to a dataset .
- Merge two datasets .
- Merges two datasets .
- Creates a join index .
- Load sds .
riptable Key Features
riptable Examples and Code Snippets
Community Discussions
Trending Discussions on riptable
QUESTION
I'm trying to construct a stream in spring cloud data flow with kafka-based scriptable transform. I followed the instruction here:
https://docs.spring.io/spring-cloud-stream-app-starters/docs/Celsius.SR2/reference/htmlsingle/#spring-cloud-stream-modules-scriptable-transform
and my stream definition looks like this:
...ANSWER
Answered 2018-Jul-17 at 10:49I believe you are referring to the scriptable-transform
(not scriptable-transformER) app?
Anyway i've tried it and can confirm the issue when using the same transform expression in Skipper mode (expression works as it is in classic mode).
However if you replace the double with single quotes i believe it will resolve the issue. Following pipeline works fine for me with Kafka, Skipper:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install riptable
You can use riptable like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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