Python 2.2 1

Python 2.2 introduced the Python descriptor and introduced some new style classes, but they were not widely used. The Python descriptor is a way to create managed properties. In addition to other benefits, managed properties are used to protect properties from modification, or to http://www.aliyun.com/zixun/aggregation/18862.html "> Automatically update the value of a dependent property." Descriptor added to the understanding of Python, improved ...

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 algorithm spicy, for small white I, the scissors are still messy, and I sort out some of the pictures that help me quickly understand. Machine Learning algorithm Subdivision-1. Many algorithms are a class of algorithms, and some algorithms are extended from other algorithms-2. From two aspects-2.1 learning methods supervised learning Common application scenarios such as classification problems and regression problems common algorithms include logistic regression (logistic regression) and reverse-transmission neural networks (back propagation neural netw ...

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.

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 ...

How to build corporate security? Enterprise security vulnerability notification engine. Today, most enterprises are using Vulnerability Scanning + Vulnerability Bulletin, which has the following two problems: 1. There is a problem of "long scan cycle, less timely update of scan library" in the case of missed scan, and there are numerous interference items in the scan report, Sweep reports about equal to "loopholes piling up information", may not really useful a few, and allow Party A operation and maintenance personnel to find useful information, it is unusually time-consuming. 2. Security vendor's vulnerability notice is "only notice, the specific impact of that server, operation and maintenance to find it." From the above two pain points, we ...