Data Analysis Programming Language

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Absrtact: Recently, IEEE Spectrum has launched one of the most popular programming language rankings. The list of 12 indicators, combined with 10 sources (including IEEE Xplore, Google, GitHub) data, the final selection of the following ranking (out of 100, scoring higher row recently, IEEE Spectrum launched a most popular programming language rankings. The rankings screened 12 indicators, combining 10 sources (including IEEE Xplore, Google, G ...).

Red language is a homoiconic programming language with native code compilation capabilities and important symbolic symbols. It can reuse rebol syntax and semantics, support Static and JIT compilation plans, use the abstract and parallel collection of roles (http://www.aliyun.com/zixun/aggregation/16945.html ">scala"), Support for concurrent tasks and data parallelism. Programming from low-level systems (built-in red/system C-Class DSL) to make ...

R as a source of data statistical analysis language is imperceptibly in the enterprise to expand their influence.   Unique extensions provide free extensions and allow the R language engine to run on the Hadoop cluster. R language is mainly used for statistical analysis, drawing language and operating environment. R was originally developed by Ross Ihaka and Robert Gentleman from Oakland University in New Zealand. (also known as R) is now being developed by the R Development core team. R is a GNU project based on the S language, so you can also ...

Which of the following 5 languages are NODE, LUA, Python, Ruby, R, and which will be better applied in the 2014? I don't hesitate to choose R. 　　R is not only 2014, but also the protagonist for a longer period of time. 1. My programming background programmer, Architect, from the beginning of programming to today, has been convinced that Java is the language to change the world, Java has done, and has been very brilliant. But when the world of Java is becoming bigger and larger, when it becomes omnipotent, it is not professional enough for other languages to develop ...

R is a GNU open Source Tool, with S-language pedigree, skilled in statistical computing and statistical charting. An open source project launched by Revolution Analytics Rhadoop the R language with Hadoop, which is a good place to play R language expertise. The vast number of R language enthusiasts with powerful tools Rhadoop, can be in the field of large data, which is undoubtedly a good news for R language programmers. The author gave a detailed explanation of R language and Hadoop from a programmer's point of view. The following is the original: Preface wrote several ...

With the growing interest in large data analysis, software vendors Revolution http://www.aliyun.com/zixun/aggregation/16353.html "> 　　Analytics has improved its flagship R-language statistics feature to enable it to run with the Hadoop data processing platform. This new revolution R Enterprise 7 (RRE 7) also enables R in the Teradata Database ...

People will expect you to give up some of the real work, such as programming, as your age increases and your personal conditions are limited. 　　Move to a bigger task, such as managing a team or raising money. This is true in academia, where the "real professor" decides the details, leaving only the "things in the direction". In other words, the organization faces vertical collaboration: Top managers manage some (cheaper) employees in a parallel structure. In research institutions, senior scientists put forward ideas, and the task of junior scientists is to achieve these ideas. Over time, advanced science ...

Now, "Big data" has become one of the hottest words, more and more enterprises began to pay attention to and embrace large data, 2014 Big data will have more substantial progress, in which Hadoop and R language will be the protagonist. "Big Data" has become one of the most frequently used technical hot words in the 2013. The corresponding market has also seen rapid growth in the year. Hadoop and its ecosystems, which are associated with large data, have become a common tool for data scientists from technologies that were previously used by very talented programmers and engineers. More and more enterprises begin to embrace ...

Now, "Big data" has become one of the hottest words, more and more enterprises began to pay attention to and embrace large data, 2014 Big data will have more substantial progress, in which Hadoop and R language will be the protagonist. "Big Data" has become one of the most frequently used technical hot words in the 2013. The corresponding market has also seen rapid growth in the year. Hadoop and its ecosystems, which are associated with large data, have become a common tool for data scientists from technologies that were previously used by very talented programmers and engineers. More and more enterprises begin to embrace ...