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 ...
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 ...
Rpy is a very simple http://www.aliyun.com/zixun/aggregation/17547.html "> powerful Python interface to the R programming language. It can manage various R objects and perform any R functions (including graphics). All errors in R language can be converted to Python exception handling. Any modules installed on the R system can be easily used in Python without introducing any changes. Rpy 2.2.2 This version repair ...
R is a free, free, Open-source software that belongs to the GNU system and is an excellent tool for statistical computing and statistical mapping. R is an implementation of the S language. s language is an interpretive language developed by at&thttp://www.aliyun.com/zixun/aggregation/13467.html "> Bell Labs" for data exploration, statistical analysis and mapping. Originally, the implementation version of the S language was mainly s-plus. S-plus is a ...
Python 3.2.1 Update log: Numerous improvements to the mainframe module PEP 3147, support for. PYC repository Pep 3149, Support for version tagged dynamic libraries PEP 3148, a new futures Libra ...
The intermediary transaction SEO diagnoses Taobao guest Cloud host Technology Hall This article is for the SEO crowd's Python programming language introductory course, also applies to other does not have the program Foundation but wants to learn some procedures, solves the simple actual application demand the crowd. In the later will try to use the most basic angle to introduce this language. I was going to find an introductory tutorial on the Internet, but since Python is rarely the language that programmers learn in their first contact program, it's not much of an online tutorial, or a decision to write it yourself. If not ...
The following small series summarizes 10 best data mining tools for everyone, which can help you analyze big data from various angles and make correct business decisions through data.
What we want to does in this short tutorial, I'll describe the required tournaments for setting up a single-node Hadoop using the Hadoop distributed File System (HDFS) on Ubuntu Linux. Are lo ...
Several articles in the series cover the deployment of Hadoop, distributed storage and computing systems, and Hadoop clusters, the Zookeeper cluster, and HBase distributed deployments. When the number of Hadoop clusters reaches 1000+, the cluster's own information will increase dramatically. Apache developed an open source data collection and analysis system, Chhuwa, to process Hadoop cluster data. Chukwa has several very attractive features: it has a clear architecture and is easy to deploy; it has a wide range of data types to be collected and is scalable; and ...
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