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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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.
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Multiplatform. Supports multiple programming languages: Java, Python (Jython), Groovy, Ruby
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Large database of examples and code snippets https://datamelt.org/code/
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Students at universities and data scientists.
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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
Based on our record, Justworks seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
There are payroll services that can help you with this - https://www.paychex.com/ is one. There are also companies that offer a bit more like https://justworks.com/, which can give you the whole suite of offerings for the company. Source: over 2 years ago
Justworks | New York City ONSITE (when we return to the office, TBD) | Full-Time | Many Software Engineering, Engineering Manager and Product Manager roles | https://justworks.com/ Justworks is an online platform for companies that need to manage payroll, benefits, and government compliance. We’re helping businesses get off the ground by enabling them to focus on running their business. At Justworks, you’ll enjoy... - Source: Hacker News / about 3 years ago
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