Search Results for "programming c++ library"

Windows file viewer for delimited text files, such as CSV or tab-delimited files. No configuration is required—simply open any delimited text file and view the data in a clean, tabular format. For files with unusual formatting, optional settings allow quick adjustments to ensure proper display.

Конвертация DBF файлов в MySQL, CSV или XML. Русский, English, Deutsch, Español, Italiano, Français, Čeština, Română. http://dbf-to-mysql-csv-xml.sourceforge.net

ZET-CSV is the C++ library for csv format. ZET-CSV uses STL library. Interface CSV container similar to the interface std::vector. You can use ZET-CSV (not as the library) with your code by rewriting the Makefile. ZET-CSV contains following csv extension: a different number of columns in the rows, literals \r, \n, \r\n indicate the end of the row.

...I got a little inspired from MT4 allowing a fairly easy portability of programmed indicators from MT4 to QChartist. It is now faster and much more professional thanks to the use of a C++ layer (used mostly for calculations) over the standard Basic layer (used mostly for the GUI interface). You can use astro indicators and functions from a library for astronomical calculations. You can get realtime quotations thanks to perl scripts.

Still struggling with Excel to setup your pick and place machine ? Cad2Board reads component mounting information from Eagle, Altium Designer and Mentor Expedition PCB designs. Component or component groups can be assigned to feeder slots by drag and drop. Any modifications for PCB population can be defined to generate PCB variants, consider rotations from unusual tape and reel packaging or to account in advance for CAD library or PCB design bugs. Generated setup data is stored in a...

The name has changed: that project has become the Airline Travel Solution Provider, AirTSP for short.

ktdata is a C++ library for accessing tabular data, like from CSV files. Its goals are: 1. object design 2. portability (Linux and Windows support at least) 3. high performance 4. support for common data file formats, like CSV, ARFF (Weka), etc.