Search Results for "python programming language"
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Showing 4 open source projects for "python programming language"
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AestheticsPro Medical Spa SoftwareAestheticsPro is the most complete Aesthetics Software on the market today. HIPAA Cloud Compliant with electronic charting, integrated POS, targeted marketing and results driven reporting; AestheticsPro delivers the tools you need to manage your medical spa business. It is our mission To Provide an All-in-One Cutting Edge Software to the Aesthetics Industry.
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Award-Winning Medical Office Software Designed for Your SpecialtyRXNT is an ambulatory healthcare technology pioneer that empowers medical practices and healthcare organizations to succeed and scale through innovative, data-backed, AI-powered software.
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nars2000
NARS2000: An Experimental APL Interpreter
APL is an arrary-oriented language initially conceived in the 1960s by Kenneth E. Iverson, IBM Fellow and 1979 ACM Turing Award recipient. It is ideally suited to computer programming because it subsumes the tedious aspects of the job allowing the programmer to concentrate on the heart of the project. NARS2000 is a Free Open Source implementation of APL. For more details on this project, visit the NARS2000.org website. -
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A Perl based interpreter for a language which is a blend of Forth and APL. The power of lang5 stems from its arrays operations in conjunction with the underlying Forth programming paradigm of bottom up programming.
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OpenAPL is an open-source APL (A Programming Language) implementation. APL's strength is in the ease with which a programmer can manipulate arrays of numbers or characters.
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Skillfully - The future of skills based hiringSkillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
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