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DataMelt is a Java program for statistics, general data analysis and data visualization. The program is often termed "computational platform" since it can be used with different programming languages (Java, Python, Groovy..). DataMelt is not limited to a single programming language. The program is used for numeric computation, statistics, analysis of large data volumes ("big data") and scientific visualization. Full description: https://handwiki.org/wiki/Software:DataMelt
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DataMelt's answer:
students and data scientists
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DataMelt has its roots in particle physics where data mining is a primary task. It was created as Software:jHepWork project in 2005 and it was initially written for data analysis for particle physics.
DataMelt's answer:
Multiplatform. Supports multiple programming languages: Java, Python (Jython), Groovy, Ruby
DataMelt's answer:
Large database of examples and code snippets https://datamelt.org/code/
DataMelt's answer:
Students at universities and data scientists.
DataMelt's answer:
Java (JDK any new new release including JDK20)
I like this DataMelt analysis program since it has many 2D/3D visualisation and a massive number of practical examples
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Here's another site that helped me when I was starting out: interviewcake.com (I think I had a free trial or something). Source: over 4 years ago
Interviewcake.com has some great explanations and practice problems for leetcode style problems. I got the year subscription on sale. Source: almost 5 years ago
I also used to do the exact same thing during a technical interview. Seems like an obvious answer, but I've always noticed the more prior practice I have, the less nervous I get. I think a good part of the mental fatigue comes from nerves. And those nerves were amplified when I encountered a problem for which I didn't immediately have a general grasp of the solution. But as soon as I got more consistent with my... Source: almost 5 years ago
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RJS Graph - RJS Graph is an artificial intelligence-based data management platform that allows users or developers to organize the data by manipulating the binaries, scientific, mathematical, and other insights with accurate results.