Algorithm Programming Language

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Comparison of the advantages and disadvantages of the five best programming languages

Just like most software applications, developers are writing artificial intelligence projects in multiple languages, but there isn't a perfect programming language that can be fully equipped with artificial intelligence projects.

-mapreduce of functional programming paradigm

One months ago, I was asked what is functional programming? Although familiar with some of the concept of functional programming, the Little Schemer bought from Canada six months ago also read the previous chapters, that day is not able to answer what is functional programming. Functional programming is a strange field for programmers familiar with procedural programming, and concepts such as closures (closure), continuations (continuation), and currying are a nightmare for programmers with procedural programming. Without u ...

Mercury 11.07.1 Publish logical/Functional programming language

Mercury is a new logical/functional programming language that combines the advanced static analysis and error detection capabilities of descriptive programming. It highly optimizes the execution algorithm far more efficient than the existing logical programming system, and approaches the conventional programming system. Mercury is able to handle the problem of large http://www.aliyun.com/zixun/aggregation/7298.html "> program development, making it modular, separate compilation, and numerous optimization/time tradeoffs." Mercury ...

R language for Hadoop injection of statistical blood

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 ...

How does a novice programmer improve programming skills?

In fact, a lot of people learn programming will encounter difficulties, I think one of the fundamental reason is that they do not understand what to learn programming in the end. Programming is not a knowledge, but a craft. We learn from small to large are learning knowledge, the process is generally reading before class preview, class listening, class to do homework, and then review the exam. But this is not the way to learn crafts. Let's take a swim for example, swimming is not knowledge, but skill, it can also be a craft. Do you need a preview? Need to listen in class? No, because two-year-olds can learn to swim, they can't even talk, how can ...

R language brings revolutionary changes to Hadoop cluster data statistical analysis

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 ...

Analysis of cloud computing distributed parallel computing: programming model

MapReduce is a distributed programming model developed by Google for mass data processing in large-scale groups. It implements two functions: map applies a function to all members of the collection, and then returns a result set based on this processing. and reduce is the classification and generalization of result sets that are processed in parallel by multiple threads, processes, or stand-alone systems from two or more maps. The Map () and Reduce () two functions may run in parallel, even if not in the same system ...

Large data recruitment, so I was selected by the algorithm

Jede Domingues, a 26-year-old who has never been to college, was judged by the gold-plated company's algorithm as a programmer, and then recruited by the new company. Last summer, 26-year-old Jede Domingues (Jade domingues) received a sudden e-mail that a San Francisco start-up company asked him to interview programmers. Dominguez, who lived in a rented room in Pasadena, California, on credit cards, is learning to program. Dominguez in high school, did not want to go to college ...

Large data recruitment, so I was selected by the algorithm

Jede Domingues, a 26-year-old who has never been to college, was judged by the gold-plated company's algorithm as a programmer, and then recruited by the new company. Last summer, 26-year-old Jede Domingues (Jade domingues) received a sudden e-mail that a San Francisco start-up company asked him to interview programmers. Dominguez, who lived in a rented room in Pasadena, California, on credit cards, is learning to program. Dominguez in high school, did not want to go to college ...

High-level language for the Hadoop framework: Apache Pig

Apache Pig, a high-level query language for large-scale data processing, works with Hadoop to achieve a multiplier effect when processing large amounts of data, up to N times less than it is to write large-scale data processing programs in languages ​​such as Java and C ++ The same effect of the code is also small N times. Apache Pig provides a higher level of abstraction for processing large datasets, implementing a set of shell scripts for the mapreduce algorithm (framework) that handle SQL-like data-processing scripting languages ​​in Pig ...

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