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AWE Library 2.4 Full Source D5-XE8

AWE Library 2.4 Full Source D5-XE8
AWE Library 2.4 Full Source D5-XE8 | 31 kB


Address Windowing Extensions (AWE) for Delphi allows your applications to quickly manipulate physical memory greater than 4GB. Windows 2000 or higher is required.

See MSDN for detailed information regarding AWE API:
http://msdn.microsoft.com/library/en-us/memory/base/address_windowing_extensions.asp
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OBR Library 1.0 D7-XE8 Full Source

OBR Library 1.0 D7-XE8 Full Source
OBR Library 1.0 D7-XE8 Full Source | 13 Mb


Delphi and C++ Builder optical barcode recognition library.

Features

Uses ZXing.Net library https://zxingnet.codeplex.com
Supports UPC-A, UPC-E, EAN-8, EAN-13, Code 39, Code 93,
Code 128, Codabar, ITF, RSS-14, RSS-Expanded, QR Code,
Data Matrix, Aztec and PDF 417 barcodes
Requires Microsoft .NET Framework 4
Supports Windows 32 and Windows 64
Available for Delphi/C++ Builder 7 - XE8
Source code included in full version
Royalty free distribution in applications
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SDAC Pro (SQL Server Data Access Components) 6.11.23 XE8 Retail

SDAC Pro (SQL Server Data Access Components) 6.11.23 XE8 Retail
SDAC Pro (SQL Server Data Access Components) 6.11.23 XE8 Retail | 4 Mb


SQL Server Data Access Components (SDAC) is a library of components that provides native connectivity to SQL Server from Delphi, C++Builder, Lazarus (and Free Pascal) for both 32-bit and 64-bit Windows platforms. SDAC-based applications connect to SQL Server directly through OLE DB, which is a native SQL Server interface. SDAC is designed to help programmers develop faster and cleaner SQL Server database applications.
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PjOrion 1.3.0

PjOrion 1.3.0
PjOrion 1.3.0 | 6 Mb


Here is a versatile tool for the compilation, decompilation and obfuscation python-mod. The program uses Python4Delphi and interacts with a python -dvizhkom through dll Library. Sources python modules are packed in a zip -Archives that comes with the program. For full battery life Orion enough to have dll Library and zip -Archives modules python. With this you can connect to any -dvizhku python, which is already installed on your computer.
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