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  2. Jam.py (web framework) - Wikipedia

    en.wikipedia.org/wiki/Jam.py_(web_framework)

    Jam.py is free and open-source low-code/no-code "full stack" WSGI rapid application development framework for the JavaScript and Python programming language. [2] Jam.py is a Single-page, event driven low-code development platform for database-driven business web applications, based on DRY principle, with emphasis on CRUD.

  3. GitHub Copilot - Wikipedia

    en.wikipedia.org/wiki/GitHub_Copilot

    Copilot’s OpenAI Codex is trained on a selection of the English language, public GitHub repositories, and other publicly available source code. [2] This includes a filtered dataset of 159 gigabytes of Python code sourced from 54 million public GitHub repositories. [15] OpenAI’s GPT-3 is licensed exclusively to Microsoft, GitHub’s parent ...

  4. Nuitka - Wikipedia

    en.wikipedia.org/wiki/Nuitka

    Nuitka (pronounced as / n juː t k ʌ / [2]) is a source-to-source compiler which compiles Python code to C source code, applying some compile-time optimizations in the process such as constant folding and propagation, built-in call prediction, type inference, and conditional statement execution.

  5. Web Server Gateway Interface - Wikipedia

    en.wikipedia.org/wiki/Web_Server_Gateway_Interface

    the application/framework side. This is a Python callable, supplied by the Python program or framework. Between the server and the application, there may be one or more WSGI middleware components, which implement both sides of the API, typically in Python code.

  6. List of tools for code review - Wikipedia

    en.wikipedia.org/wiki/List_of_tools_for_code_review

    Python: post-commit Kiuwan: Optimyth Technologies actively developed Proprietary: CVS, Subversion, Git, Mercurial Linux, macOS, Windows pre- and post-commit Patchwork: Stephen Finucane actively developed GPL v2: VCS-agnostic Python: mailing list Phabricator: Phacility End of life Apache: Git, Subversion, Mercurial PHP: pre- and post-commit

  7. 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.

  8. Project Jupyter - Wikipedia

    en.wikipedia.org/wiki/Project_Jupyter

    The main parts of the Jupyter Notebooks are: Metadata, Notebook format and list of cells. Metadata is a data Dictionary of definitions to set up and display the notebook. Notebook Format is a version number of the software. List of cells are different types of Cells for Markdown (display), Code (to execute), and output of the code type cells. [23]

  9. CatBoost - Wikipedia

    en.wikipedia.org/wiki/Catboost

    It works on Linux, Windows, macOS, and is available in Python, [8] R, [9] and models built using CatBoost can be used for predictions in C++, Java, [10] C#, Rust, Core ML, ONNX, and PMML. The source code is licensed under Apache License and available on GitHub. [6] InfoWorld magazine awarded the library "The best machine learning tools" in 2017.