Search Results for "double-entry"

LazLiteDB can create and utilize multi-table SQlite databases with report capability. It provides an editor to create SQLite tables and maintain the table structure. For day to day data entry, LazLiteDB provides a user friendly interface with custom reports. See ReadMe.txt file for version updates

Module have several types in python: 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.

This small perl program allows you to easily export LDAP entries from an LDAP server (MS ActiveDirectory for example) to csv format. It can export various csv formats and can deal with mutlivalued attributes.

...First, DBAddin provides DB Functions (see DBFuncs User-doc), which are an alternative to the Excel built-in MSQuery (integrated statically into worksheets having severe limitations in terms of querying and constructing parameterized queries (MS-Query allows parameterized queries only in simple queries that can be displayed graphically)). Next, methods for working with database data (DBModifications: DBMapper, DBAction and DBSequences) are included. This also includes a row entry oriented way to modify data in so called DBSheets (see DBSheets). The old code (SF-Code) is based on VB6, the current code is VB.NET (based on ExcelDNA).

An interactive data entry, querying, and editing system based on a generic conceptual schema for taxonomic databases. It combines the automated use of scientific names and synonyms in a species checklist with online access to geographical data and common knowledge data (morphological descriptors, genomics, ecology, vernacular names, economic uses, structured notes and conservation status) about the species.

Provides a no-shrills interaction to generate SQL queries based on arbitrary basic inputs such as CSV. After extracting, just double click on the CSV2SQL.jar file and choose a CSV file to generate SQL out of. Output should show on the next screen. That's it!