Python Final

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Writing distributed programs with Python + Hadoop (i): Introduction to Principles

A brief introduction to MapReduce and HDFs what is Hadoop?     &http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; Google has proposed a programming model for its business needs mapreduce and Distributed File system Google file systems, and published related papers (available in Google Research ...).

Writing distributed programs with Python + Hadoop

What is Hadoop? Google proposes a programming model for its business needs MapReduce and Distributed file systems Google File system, and publishes relevant papers (available on Google Research's web site: GFS, MapReduce). Doug Cutting and Mike Cafarella made their own implementation of these two papers when developing search engine Nutch, the MapReduce and HDFs of the same name ...

Python V2.6.7RC1 publishes object-oriented literal translation programming language

Python is an object-oriented, literal translation of computer programming language, is also a http://www.aliyun.com/zixun/aggregation/17547.html "> Powerful and Perfect universal language, Has more than 10 years of development history, mature and stable. This language has a very simple and clear grammatical features that are suitable for performing various high-level tasks and can be run in almost all operating systems. At present, the relevant technology based on this language is developing rapidly, the number of users is urgent ...

Mailbox: The performance tuning and cluster migration of the information database

In mailbox rapid expansion process, one of the performance problems is the MongoDB database level write lock, the time spent in the lock waiting process, directly reflects the user's use of the service process delay. To address this long-standing problem, we decided to migrate a common set of MongoDB (storing mail-related data) to a separate cluster. According to our inference, this will reduce the lock latency by 50%, and we can add more fragments, and we expect to be able to optimize and manage different types of data independently. We start from Mon ...

Layman's It

The computer came into my life very early. However, I have always wandered as a layman: neither a computer education nor an IT industry. Think of yourself these years in the front of the door dangling, leaving and gathering, quite sentimental. The first time close contact with primary school, the family put a Lenovo "Qin" computer. Its domineering side leaky speaker, incomparable pull the wind microphone, mysterious remote control, all shook my heart. Then the little boy would spend an afternoon studying the difference between the left and right keys and the function of the "Start" menu. In junior high School, the game became synonymous with computers. I'm buying Volkswagen software at the newsstand ...

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 ...

Construction of Docker Cluster management based on Kubernetes

Before the formal introduction, it is necessary to first understand the kubernetes of several core concepts and their assumed functions. The following is the kubernetes architectural design diagram: 1. Pods in the kubernetes system, the smallest particle of dispatch is not a simple container, but an abstraction into a pod,pod is a minimal deployment unit that can be created, destroyed, dispatched, and managed.   such as a container or a group of containers. 2. Replication controllers ...

Suppose the Product Manager understands the technology

In the last seven years, I have been doing Internet products, including the first five years in the start-up companies and listed companies, to do other people's products; nearly two years in the business, to do their own products. My experience is: Product managers need to understand technology, entrepreneurs in particular need.   But the premise is that you always feel a share of the desire to do something, if you plan to mix security days, especially in large companies, you do not need to understand, but to be careful not to "know too much", silly person life peace. To do the product these years, and development engineers to deal with most, ...

Use machine learning to predict the price of a listing on Airbnb

Recently, Airbnb machine learning infrastructure has been improved, making the cost of deploying new machine learning models into production environments much lower. For example, our ML Infra team built a common feature library that allows users to apply more high-quality, filtered, reusable features to their models.

IEEE Spectrum launches one of the most popular programming language rankings

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 ...).

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