We've sorted out 15 of the most popular Python open source frameworks from GitHub, including event I/O, OLAP, web development, high-performance network communications, testing, reptiles, and more. 1. Django:python Web application Development Framework Django should be the most famous Python framework, and Gae and even erlang have frameworks that are affected by it. Django is the direction of walking all-inclusive, it is the most famous is its fully automated management background: Just to use ORM, simple ...
Fabula is an open source pythonhttp://www.aliyun.com/zixun/aggregation/18701.html "> game engine for adventure games, role-playing games, strategy games and digital interactive storytelling." Fabula provides client server architecture, event-based protocols, multiplayer network games, multithreaded servers, summaries, visual unknown models in the gaming world, asset management, plug-in systems, and the recording and playback of games. The code ...
How should Microsoft Windows Azure be defined? This is not an easy question to answer, and now it seems more so, and recently Microsoft has added new online services to Azure. Compared to other cloud platforms, the previous Azure short board is embodied in the service of online building applications. But this week Microsoft has made up for the lack of azure, and Microsoft has released a series of cloud services. Microsoft is also integrating more and more development tools into its own platform ...
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 ...
Trac is an open source software application platform that integrates wikis and problem-tracking management systems for software development project needs. TRAC establishes a Web application for software project management in a simple way to help http://www.aliyun.com/zixun/aggregation/7155.html "> Developers better write high quality software , the TRAC application strives not to affect the development process of the existing team. TRAC is developed using the Python language, because ...
The Python framework for Hadoop is useful when you develop some EMR tasks. The Mrjob, Dumbo, and pydoop three development frameworks can operate on resilient MapReduce and help users avoid unnecessary and cumbersome Java development efforts. But when you need more access to Hadoop internals, consider Dumbo or pydoop. This article comes from Tachtarget. .
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 ...
Now almost any application, such as a website, a web app and a mobile app, needs a picture display function, which is very important for the picture function from the bottom up. Must have a forward-looking planning picture server, picture upload and download speed is of crucial importance, of course, this is not to say that it is to engage in a very NB architecture, at least with some scalability and stability. Although all kinds of architecture design, I am here to talk about some of my personal ideas. For the picture server IO is undoubtedly the most serious resource consumption, for web applications need to picture service ...
Spark can read and write data directly to HDFS and also supports Spark on YARN. Spark runs in the same cluster as MapReduce, shares storage resources and calculations, borrows Hive from the data warehouse Shark implementation, and is almost completely compatible with Hive. Spark's core concepts 1, Resilient Distributed Dataset (RDD) flexible distribution data set RDD is ...
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