Who Created Python Language

The Go programming language did not appear in the top 10 of the GitHub rankings, but it has risen steadily at least on many major workloads. Derek Collison, CEO and founder of Apcera, the secretive-created PAAs, said. Collison found that the go language has a significant advantage over IaaS, PAAs, and orchestration, sparking a discussion of the went prospects. Prophecy: Go will become IaaS, orchestration and Orchestratio within 2 years ...

How powerful is a programming language? Ramio Gómez produced a programming language influence graph based on tens of thousands of data, and it can be found that the most influential programming languages are: C, Lisp, Pascal, Java, Smalltalk. Tiobe each month to the programming language rankings, from the side to explain which programming languages use more widely. Have you considered the influence of these programming languages on each other? Which language has the greatest influence? Obviously, most developers will recognize ...

The famous Tiobe rankings are ranked in programming languages every month, explaining which programming languages are more widely used. Have you considered the influence of these programming languages on each other? Which language has the greatest influence? Obviously, most developers will think their language is the best.   If you want a more scientific view, you can view the following programming language impact diagram. Influence between programming languages the figure is implemented by Ramio Gómez, each node in the diagram represents ...

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 ...

Open source machine learning tools also allow you to migrate learning, which means you can solve machine learning problems by applying other aspects of knowledge.

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 ...

Machine learning engineers are part of the team that develops products and builds algorithms and ensures that they work reliably, quickly, and on a scale.

The end of 2013, we based on the past year's user access, exchange and sharing and the project itself update frequency and other aspects of the open source China's nearly 30,000 open source software statistics, so that the top 10 most popular open source software, for reference only. The list is mainly for domestic open source software, the list of 10 open source software is not the same type, although put together is not very scientific. 　　We only select from a few angles, including user access, software updates, and user discussion of the software. 1. Goagent ...

Absrtact: 7 years ago, one of the ideas, the success of today's popular social network and microblogging service--twitter. Twitter now has more than 200 million monthly active subscribers, and about 500 million tweets are sent every day. 　　Behind all this is the support of a large number of open source projects. Twitter, known as the "Internet SMS Service", allows users to post no more than 140 tweets, the idea from Twitter's co-founder, Jack Dorsey, which was dubbed "the dumbest Ever" by analysts 7 years ago ...

Spam filtering, face recognition, recommendation engine-when you have a large dataset and want to use them to perform predictive analysis and pattern recognition, machine learning is the only way. In this science, computers can learn, analyze and manipulate data independently without prior planning, and more and more developers are now concerned with machine learning. The rise of machine learning technology is also important not only because hardware costs are getting cheaper and more powerful, but free software surges that machine learning is easily deployed on stand-alone or large-scale clusters The diversity of machine learning libraries means that whatever language you like ...