Search Results for "compiler python linux"
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Showing 5 open source projects for "compiler python linux"
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Applewood Computers Accounting System
Accounting system for smaller companies written in GnuCobol.
ACAS contains Sales, Purchase and Nominal Ledgers (Accounts Receivable, Payable and General Ledgers) as well as Stock Control (Inventory Control) along with IRS (Incomplete Records System). This system is written in COBOL and uses the GnuCobol compiler which compiles via C code and is therefore compatible with the following platforms: Linux, Unix, Dos, Mac OSX, Windows providing you have installed the GCC C compiler or an equivalent as well as GnuCobol. at a minimum, v2.0+. Note that all... -
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Fryktelig fin faktura
Create, review and administer norwegian invoices.
Create, review and administer invoices for use in Norway, and print on the F60 faktura form or send by email as PDF. «Fryktelig Fin Faktura» er et fakturaprogram for norske forhold. Fakturaene lages på PDF eller skjema F60. Dersom du kan hjelpe til, er vi åpne for flere utviklere. Releases are signed with this GnuPG/PGP key fingerprint: «7F09 D1F8 1C3E 1758 4AC9 C61A 4F5A D64D FA68 7324» -
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LIstFOrmatCONverter
A tool to convert an exported text file from one format to another.
Sometimes an upgraded application changes data formats which can break compatibility with previous versions. If import/export text files are of the following format: "descript1","descript2","descript3" "data1","data2","data3" "data1","data2","data3" then this program can rearrange the data of large exported files in order to be imported into another version or application with little effort. -
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TOSPMS
TOSPMS - A practice management system for the healthcare industry.
TOSPMS - The Open Source Practice Management System. A highly customizable practice management system for the healthcare industry, designed for speed and simplicity. Written in Python using wxPython among others. -
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CostosPy esta diseñado para manejar la ejecucion de pequeños proyectos de construcción, ayudar a la facturación y el analisis dia a dia de costos vs producido.
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