Search Results for "pvgn-support-1.2zip"

...-threaded, header row support, type conversion, skip commented lines, fast mode, graceful error handling, and optional sprinkle of jQuery. Specify a step callback to receive the results row-by-row. This way, you won't load the whole file into memory and crash the browser. If you tell Papa there is a header row, each row will be organized by field name instead of index. If you want numbers and booleans, you can enable dynamic typing to do the conversion for you.

This is an Excel based VBA script used to import bulk .VCF files that contain more than 1 Vcard and then convert them to a comma separated .CSV file or Excel xls file that can then be imported into Outlook, Google, or any other application that supports import of contacts using CSV files. This has been written to support VCF 2.0, 2.1, 3.0 and 4.0 formatted files including those with printable encoding (MIME) and has been tested with bulk VCF files from Backupify, Google Contacts (Gmail...

Super CSV is a fast, programmer-friendly, open-source library for reading and writing CSV files with Java. PLEASE NOTE: As of January 2015 we have now moved to GitHub (https://github.com/super-csv/super-csv). This SourceForge page will remain, but with limited functionality (please go to GitHub to report issues and for project downloads). It is highly configurable, and supports reading and writing with POJOs, Maps and Lists. It also has support for deep-mapping and index-based mapping...

- Easy XML/SOAP sending for implementation tests - Batch preview function - Monitoring feature preview - Support different WEB services in one application Installer is currently not set. But you can use the Windows Application control to deinstall the Software. The basefolder is located at \Users\<Username>\SendEngine - this Folder will not be deleted after Deinstallation of the sofware. Starting SendEngine first create a WebService Folder. This service may contain multible requests. At Tools...

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.