Search Results for "together"

Module have several types: ring (double linked list), pair (light weight tuple), Nil-singletone, treedict (avl & rb balanced binary trees). In billow SQL(NULL) for now is 'billow.Nil' type with some aggregate functions on cpython release, and 'expectone' as bridge aggregated function together with 'coalesce', 'count', 'min', 'max', 'minmax'. All group function gets as tuple arguments - {name}'_at', and iteratable function - {name}'_it' for fun python constructor - for free on memory limits, because it is the same C function.

ldif-extract is a small 'grep' like tool to extract and convert data from LDIF files. It could be used standalone or also in a pipe together with other tools like ldapsearch.

...It enables multiple users to work in parallel and supports advanced features including version control. It is fully integrated with the Ciiva Electronic Component Search API, seamlessly bringing together the component library and bill of materials with all other related information sources in one centralized database.

The goal of this project is to create an extension to Subversion, a version control system, with database schema versioning support. As a result, it will be possible to control versions of relational database objects, such as tables, views or stored procedures together with source code of the application, hence monitor relation between source code and database schema changes, history of database schema changes and ability to automatically update a newer, or revert to an older revision. Currently, the client supports PostgreSQL and MySQL database systems. Emphasis is put on the client to be extensible, though, so it is possible to implement a connector for another database system. ...

This project consists out of a windows based designer application and a library (that can run on multiple platforms, including android) together with several demo applications (including an MVC3 chatbot client and an android application). It is probably best compared to a database management system, but for neural networks instead of relational data. As such, the library is optimized for handling any type of data-size by using advanced streaming and caching algorithms.