Python 3 Functional Programming

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Fast construction of MapReduce algorithm for thick-accumulated thin hair

Original: http://www.kamang.net/node/223 The reader is impatient, I did not, so first say the conclusion: you can not edit the program, as long as the mouse to drag a few icons, change parameters, you can complete the distribution of billion data processing procedures. Of course, the ideal goal has not yet been achieved, but the road has been plainly displayed in front of us, at least we have come close to half. First of all, the MapReduce algorithm itself comes from functional programming, so using FP's idea to build the algorithm is again ...

Spark: A framework for cluster computing on a workgroup

Translation: Esri Lucas The first paper on the Spark framework published by Matei, from the University of California, AMP Lab, is limited to my English proficiency, so there must be a lot of mistakes in translation, please find the wrong direct contact with me, thanks. (in parentheses, the italic part is my own interpretation) Summary: MapReduce and its various variants, conducted on a commercial cluster on a large scale ...

10 tips for debugging and troubleshooting

Open a brand new text in a blank http://www.aliyun.com/zixun/aggregation/18444.html "> text editor without a single line of code that appears in front of a project full of possibilities and hopes However, after thousands of lines of code have been written, the entire project has been overwhelmed by bugs, let alone added new features ... This is probably the biggest hit for programmers, with full enthusiasm Poured a pot of cold water. In fact, the best software program ...

Ceylon: real progress or just another language?

The road to computer science is littered with things that will become "the next big thing". Although many niche languages do find some place in scripts or specific applications, C (and its derivatives) and Java languages are hard to replace. But Red Hat's Ceylon seems to be an interesting combination of some language features, using the well-known C-style syntax, but it also provides object-oriented and some useful functional support in addition to simplicity. Take a look at Ceylon and see this future VM ...

Spark: The Lightning flint of the big Data age

Spark is a cluster computing platform that originated at the University of California, Berkeley Amplab. It is based on memory calculation, from many iterations of batch processing, eclectic data warehouse, flow processing and graph calculation and other computational paradigm, is a rare all-round player. Spark has formally applied to join the Apache incubator, from the "Spark" of the laboratory "" EDM into a large data technology platform for the emergence of the new sharp. This article mainly narrates the design thought of Spark. Spark, as its name shows, is an uncommon "flash" of large data. The specific characteristics are summarized as "light, fast ...

Research and Development Weekly: API dead, API forever!

Research and Development Weekly: API dead, API forever! Published in 2013-03-15 13:18| Times Read | SOURCE csdn| 0 Reviews | Author She Bamboo Research and Development weekly Apigithub open source programming language Abstract: We carefully prepared for you the CSDN Research and Development Channel One week the most exciting technical hotspot, readers! Highlights of the week: Former Google senior researcher Zhao returned to venture sharing computer vision/pattern recognition experience; TIOBE March 2013 programming language rankings, Java, C ...

How do product managers deal with programmers

People often ask me, "Hi, Fejer!" How do you write Alibaba's demand document? "But rarely hears people talk:" Hey, buddy Hello! How does the product manager deal with programmers? "You went back a little and pondered, in the heart will get the following three kinds of conditions: 1 Many product managers are programmers before, so very understanding of what the programmer is a state; 2 Many product managers still stay focused on their own product planning, design itself, lack of thinking about teamwork; 3. Many product managers, Actually have to deal with the practical skills of programmers, experience, but not ...

MapReduce reacts with SQL

Google created a mapreduce,mapreduce cluster in 2004 that could include thousands of parallel-operation computers. At the same time, MapReduce allows programmers to quickly transform data and execute data in such a large cluster. From MapReduce to Hadoop, this has undergone an interesting shift. MapReduce was originally a huge amount of data that helped search engine companies respond to the creation of indexes created by the World Wide Web. Google initially recruited some Silicon Valley elites and hired a large number of engineers to ...

How to use Coffeescript to create a complete application

Part 1th of this series describes how to get started with coffeescript, and explains some of the additional features that are available for developers. The 2nd part describes how to use Coffeescript to solve some programming problems. This article describes how to use Coffeescript to create a complete application. Coffeescript is a new programming language built on JavaScript. Coffeescript offers the ability to attract Python ...

Where do you start to develop cloud computing applications?

2009 years of Cloud computing still continues its heat in the 2008, and it is not difficult to predict that the application running on the cloud (hereinafter referred to as cloud applications) is bound to be more and more, and that there will surely be a growing number of developers who have to consider or participate in the development of cloud applications. The essence of cloud computing is access to applications and services over the Internet, which are often not run on their own servers but are provided by third parties. For cloud developers, in cloud computing mode, while deploying applications without concern for infrastructure issues, it also brings new problems, such as opening ...

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