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A common misconception about developing on Google's Android platform is that you must write code in the Java™ language. In fact, you'll have a variety of options with scripting Layer for Android (SL4A) project. SL4A first was a project that completed 20%, and was developed by Google employee Damon Kohler. It took almost 2 years, with 4 major versions. SL4A for many scripting languages ...

Pyswisseph is a python extended astrodienst Swiss ephemeris C library. The purpose of this extension is to achieve very precise astronomical computations, astrology. Pyswisseph 1.77.00-0 This version has been upgraded Swisseph to 1.77.00, adding CMake to build system files and fixing bugs. Use example: >>> import Swisseph as SWE>>&G ...

As you may have heard, functions with yield are called generator (generators) in Python, what is generator? Let's put aside the generator and show the concept of yield with a common programming topic. How to generate Fibonacci numbers the Fibonacci (Fibonacci) number is a very simple recursive sequence, with the addition of the first and second numbers, any numbers can be added together by the first two numbers. Using a computer program to output the Fibonacci number of the first N numbers is a ...

PageRank algorithm PageRank algorithm is Google once Shong "leaning against the Sky Sword", The algorithm by Larry Page and http://www.aliyun.com/zixun/aggregation/16959.html "> Sergey Brin invented at Stanford University, the paper download: The PageRank citation ranking:bringing order to the ...

After the ZOPE3 installation is complete, you can use it to do a lot of things. Of course, there are some interesting Third-party plug-in (add-on) packages, such as http://www.aliyun.com/zixun/aggregation/22.html > relational database adapters and wiki implementations. Wikis are made up of a large number of pages and can be edited by any group or person who accesses them. These pages are connected to each other through a wiki link that passes through the name of the other wiki page ...

Introduction: It is well known that R is unparalleled in solving statistical problems. But R is slow at data speeds up to 2G, creating a solution that runs distributed algorithms in conjunction with Hadoop, but is there a team that uses solutions like python + Hadoop? R Such origins in the statistical computer package and Hadoop combination will not be a problem? The answer from the king of Frank: Because they do not understand the characteristics of R and Hadoop application scenarios, just ...

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 ...

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 ...

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 ...

Overview Hadoop on Demand (HOD) is a system that can supply and manage independent Hadoop map/reduce and Hadoop Distributed File System (HDFS) instances on a shared cluster. It makes it easy for administrators and users to quickly build and use Hadoop. Hod is also useful for Hadoop developers and testers who can share a physical cluster through hod to test their different versions of Hadoop. Hod relies on resource Manager (RM) to assign nodes ...