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  2. Anaconda (Python distribution) - Wikipedia

    en.wikipedia.org/wiki/Anaconda_(Python_distribution)

    Anaconda is a distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment.

  3. Numba - Wikipedia

    en.wikipedia.org/wiki/Numba

    Numba is an open-source JIT compiler that translates a subset of Python and NumPy into fast machine code using LLVM, via the llvmlite Python package.It offers a range of options for parallelising Python code for CPUs and GPUs, often with only minor code changes.

  4. Java (programming language) - Wikipedia

    en.wikipedia.org/wiki/Java_(programming_language)

    Java is a high-level, class-based, object-oriented programming language that is designed to have as few implementation dependencies as possible. It is a general-purpose programming language intended to let programmers write once, run anywhere (), [17] meaning that compiled Java code can run on all platforms that support Java without the need to recompile. [18]

  5. Modula-3 - Wikipedia

    en.wikipedia.org/wiki/Modula-3

    Modula-3 is a programming language conceived as a successor to an upgraded version of Modula-2 known as Modula-2+.While it has been influential in research circles (influencing the designs of languages such as Java, C#, Python [8] and Nim) it has not been adopted widely in industry.

  6. C (programming language) - Wikipedia

    en.wikipedia.org/wiki/C_(programming_language)

    Libraries are often written in C because C compilers generate efficient object code; programmers then create interfaces to the library so that the routines can be used from higher-level languages like Java, Perl, and Python.

  7. List of tools for static code analysis - Wikipedia

    en.wikipedia.org/wiki/List_of_tools_for_static...

    PyCharm – Cross-platform Python IDE with code inspections available for analyzing code on-the-fly in the editor and bulk analysis of the whole project. PyDev – Eclipse-based Python IDE with code analysis available on-the-fly in the editor or at save time.

  8. Ahead-of-time compilation - Wikipedia

    en.wikipedia.org/wiki/Ahead-of-time_compilation

    AOT compilers can perform complex and advanced code optimizations which in most cases of JITing will be considered much too costly. In contrast, AOT usually cannot perform some optimizations possible in JIT like runtime profile-guided optimization (PGO), pseudo-constant propagation, or indirect-virtual function inlining.

  9. Translator (computing) - Wikipedia

    en.wikipedia.org/wiki/Translator_(computing)

    Compilers are more ideal when protecting code from plagiarism and preventing the use of source code from an unauthorized party. Object code only needs to be created once when compiling source code. There are clear disadvantages when translating high-level code with a compiler. [7] This image represents the translation process through a compiler.