Search Results for "tasm game program"
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Showing 4 open source projects for "tasm game program"
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Securden Privileged Account ManagerDiscover and manage administrator, service, and web app passwords, keys, and identities. Automate management with approval workflows. Centrally control, audit, monitor, and record all access to critical IT assets.
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Data management solutions for confident marketingVerify, deduplicate, manipulate, and assign records automatically to keep your CRM data accurate, complete, and ready for business.
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Pl: Program do wyszukiwania słów z podanych liter oraz sprawdzania czy dane słowo jest dostępne w danej grze. En: Program to search for words with the letters and to check whether the word is available in the game.
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Guess the Countryball Database
Full info about Guess the Countryball in a few clicks
This useful data program allows user to easily browse all kind of information about the Guess the Countryball game series provided by Countryball World via Facebook. This includes a complete table for players, countries, images and champions hall of fame, besides the option of exporting these data-store tables to a TXT file. -
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WordsGenerator
Generate Possible Words For Words Game
This is a python program that looks up possible words from a dictionary over 1,600 words. You type in letters that you have and the program will generate all possible words from the dictionary. -
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PSPMediaLibrary is a Sony PSP client to MediaLibrary (http://sourceforge.net/projects/medialibrary) media catalogy program. With it you can browser your catalog file (.xzcat). To run this software you need to have a homebrew enabled PSP.
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SoftCo: Enterprise Invoice and P2P Automation SoftwareSoftCo Accounts Payable Automation processes all PO and non-PO supplier invoices electronically from capture and matching through to invoice approval and query management. SoftCoAP delivers unparalleled touchless automation by embedding AI across matching, coding, routing, and exception handling to minimize the number of supplier invoices requiring manual intervention. The result is 89% processing savings, supported by a context-aware AI Assistant that helps users understand exceptions, answer questions, and take the right action faster.
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