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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 ...

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 ...

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Anaconda is the first choice for beginner Python and entry machine learning. It is a Python distribution for scientific computing that provides package management and environment management capabilities to easily handle multi-version python coexistence, switching, and various third-party package installation issues.

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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.

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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 ...