15 projects tagged "Python"
The pbs_python package is a wrapper class for the Torque Batch System C library. With this package, you now can write utilities and extensions in Python instead of C. This package was developed to replace xpbsmon by an ASCII version named pbsmon. PBSQuery is also included in this package. This is a Python module built on top of the pbs Python module to simplify querying the batch server. There are a lot of examples included in the source package.
noVNC is a VNC client implemented using HTML5 technologies, specifically Canvas and WebSockets. It supports "wss://" encryption (SSL/TLS). For browsers that do not have native WebSockets support, the project includes web-socket-js, a WebSockets emulator using Adobe Flash. In addition, as3crypto has been added to web-socket-js to implement WebSocket SSL/TLS encryption, i.e. the "wss://" URI scheme.
StarCluster is a utility for creating traditional computing clusters used in research labs or for general distributed computing applications on Amazon's Elastic Compute Cloud (EC2). It uses a simple configuration file provided by the user to request cloud resources from Amazon and to automatically configure them with a queuing system, an NFS shared /home directory, passwordless SSH, OpenMPI, and ~140GB scratch disk space. It consists of a Python library and a simple command line interface to the library. For end-users, the command line interface provides simple intuitive options for getting started with distributed computing on EC2 (i.e. starting/stopping clusters, managing AMIs, etc). For developers, the library wraps the EC2 API to provide a simplified interface for launching/terminating nodes, executing commands on the nodes, copying files to/from the nodes, etc.
Pybatis lets you use a templating engine to generate SQL in the same way we use templating engines to generate HTML. But while HTML is generated to send to a browser, Pybatis generates SQL to send to the database via Python's DB API, and then gathers the results. Pybatis consists of three things combined: Python's DB API, templates, and convenience methods. The core idea of treating dynamic SQL as a templating problem rather than a code generation problem (as in most ORM libraries) comes from iBATIS, after which Pybatis is named with great respect.