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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 ...

The Sina Cloud computing SAE (SINA APP Engine, SAE) officially announces the opening of its Python application development platform, which provides developers with the environment needed to run Python Web applications. This is the next step in support of multi-language development after supporting the PHP and Java languages. Since 2009, the Sina Cloud computing SAE has been the most popular web development language in PHP as the preferred support language, followed by the end of 2012 to fully open the Java language development platform. With the Sina cloud ...

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Mahotas is an image processing library for Python. It includes some image processing algorithms to realize c++++ acceleration, the main algorithm is watershed and domain value. Mahotas 0.6.6 Version Update log: 1.morph.get_structuring_element is implemented for Ndim &gt.2.this implies that functions As label () now a ...

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1, Enomalism (http://www.enomaly.com/) cloud computing platform. Enomalism is an open source project that provides a cloud computing framework that functions like EC2. Enomalism is based on Linux and supports both Xen and Kernel Virtual Machine (KVM). Enomalism provides a TurboGears WEB application framework and Python soft ...

Mark Atwood, head of HP's Open Source Engagement division, published a message entitled "How to Get One of These Awesome Open Source http://www.aliyun.com/zixun/aggregation/16696" in a student-facing speech. html "> Jobs", there are some suggestions which are more suitable for those who want to open source projects ...

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 ...

Spark is a memory-based, open-source cluster computing system designed for faster data analysis. Spark was developed using Scala by Matei, AMP Labs, University of California, Berkeley. The core part of the code is only 63 Scala files, which is very lightweight. Spark provides an open source clustered computing environment similar to Hadoop, but Spark performs better on some workloads based on memory and iteratively optimized designs. & nbs ...

Start-up company Rare Technologies recently released a hyperscale machine learning benchmark that focuses on GPUs and compares the performance of machine learning costs, ease of use, stability, scalability and performance with several popular hardware providers.