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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.
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 ...
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.
Grok is an open-source web framework based on Zope Toolkit (ZTK) technology. The project was started in 2006 by a number of Zope developers. [2] Its core technologies (Martian, grokcore.component) are also used in other Zope-based projects.
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.
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
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.
Django's primary goal is to ease the creation of complex, database-driven websites. The framework emphasizes reusability and "pluggability" of components, less code, low coupling, rapid development, and the principle of don't repeat yourself. [9] Python is used throughout, even for settings, files, and data models.