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Pequeño servidor SVN cuyo backend son repositorios Git implementado en pocas líneas de python. La idea es exponer los repos Git a los clientes y herramientas de SVN.

"pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language."

"Fabric is a Python (2.5-2.7) library and command-line tool for streamlining the use of SSH for application deployment or systems administration tasks. It provides a basic suite of operations for executing local or remote shell commands (normally or via sudo) and uploading/downloading files, as well as auxiliary functionality such as prompting the running user for input, or aborting execution."

"Saddle is a data manipulation library for Scala that provides array-backed, indexed, one- and two-dimensional data structures that are judiciously specialized on JVM primitives to avoid the overhead of boxing and unboxing. Saddle offers vectorized numerical calculations, automatic alignment of data along indices, robustness to missing (N/A) values, and facilities for I/O. Saddle draws inspiration from several sources, among them the R programming language & statistical environment, the numpy and pandas Python libraries, and the Scala collections library."

 Ø  The socket library that acts as a concurrency framework.  Ø  Faster than TCP, for clustered products and supercomputing.  Ø  Carries messages across inproc, IPC, TCP, and multicast.  Ø  Connect N-to-N via fanout, pubsub, pipeline, request-reply.  Ø  Asynch I/O for scalable multicore message-passing apps.  Ø  Large and active open source community.  Ø  30+ languages including C, C++, Java, .NET, Python.  Ø  Most OSes including Linux, Windows, OS X.  Ø  LGPL free software with full commercial support from iMatix.

"Support for Debian, RPM, RubyGem and Python packages. Public and private package repositories with powerful tooling, security and automation."

Graham Tackley discusses how The Guardian switched all new development from Java to Scala, why they did that, what were the benefits and the problems, and why they did not choose Python+Django.

"Gnorm converts your database's schema into in-memory data structures which you can then feed into your own templates to produce code or documentation or whatever. Gnorm is written in Go but can be used to generate any kind of textual output - ruby, python, protobufs, html, javascript, etc."

durísimo!

¡Muy buenas!