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  2. Gekko (optimization software) - Wikipedia

    en.wikipedia.org/wiki/Gekko_(optimization_software)

    GEKKO works on all platforms and with Python 2.7 and 3+. By default, the problem is sent to a public server where the solution is computed and returned to Python. There are Windows, MacOS, Linux, and ARM (Raspberry Pi) processor options to solve without an Internet connection.

  3. HiGHS optimization solver - Wikipedia

    en.wikipedia.org/wiki/HiGHS_optimization_solver

    HiGHS is designed to solve large-scale models and exploits problem sparsity. Its performance relative to commercial and other open-source software is reviewed periodically using industry-standard benchmarks. [2] The term HiGHS may also refer to both the underlying project and the small team leading the software development.

  4. Dependency hell - Wikipedia

    en.wikipedia.org/wiki/Dependency_hell

    Dependency hell is a colloquial term for the frustration of some software users who have installed software packages which have dependencies on specific versions of other software packages. [1] The dependency issue arises when several packages have dependencies on the same shared packages or libraries, but they depend on different and ...

  5. Pyomo - Wikipedia

    en.wikipedia.org/wiki/Pyomo

    Pyomo allows users to formulate optimization problems in Python in a manner that is similar to the notation commonly used in mathematical optimization. Pyomo supports an object-oriented style of formulating optimization models, which are defined with a variety of modeling components: sets, scalar and multidimensional parameters, decision variables, objectives, constraints, equations ...

  6. Rubber duck debugging - Wikipedia

    en.wikipedia.org/wiki/Rubber_duck_debugging

    In software engineering, rubber duck debugging (or rubberducking) is a method of debugging code by articulating a problem in spoken or written natural language. The name is a reference to a story in the book The Pragmatic Programmer in which a programmer would carry around a rubber duck and debug their code by forcing themselves to explain it ...

  7. Roundup (issue tracker) - Wikipedia

    en.wikipedia.org/wiki/Roundup_(issue_tracker)

    Roundup was designed by Ka-Ping Yee for the Software Carpentry project and was developed from 2001 to 2016 under the direction of Richard Jones. Since then, it has been developed by the Roundup community. It was the issue tracker for the Python programming language for 17 years before migrating to GitHub. [4]

  8. 3 AI Software Stocks to Consider Buying - AOL

    www.aol.com/finance/3-ai-software-stocks...

    Image source: Getty Images. 3. AppLovin. While the company may have a quirky name, AppLovin's (NASDAQ: APP) fortunes completely changed with the launch of its AI-powered adtech solution Axon-2 ...

  9. Conda (package manager) - Wikipedia

    en.wikipedia.org/wiki/Conda_(Package_Manager)

    Conda is an open-source, [2] cross-platform, [3] language-agnostic package manager and environment management system. It was originally developed to solve package management challenges faced by Python data scientists, and today is a popular package manager for Python and R.