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Source channel @githubtrending · Post #15304 · Dec 4
#cplusplus#cross_platform Lynx is an open-source framework that lets you build native mobile and web apps using web skills like CSS and React from a single codebase. It delivers true native performance through a dual-threaded architecture that separates UI rendering from business logic, eliminating lag and enabling instant app launches. This means you can write code once and deploy across Android, iOS, and web platforms, saving development time and costs while maintaining the speed and responsiveness of native applications. https://github.com/lynx-family/lynx
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@djangoproject · Post #131 · 09/01/2016, 03:27 AM
http://www.lfd.uci.edu/~gohlke/pythonlibs/ This page provides 32- and 64-bit Windows binaries of many scientific open-source extension #packages for the official #CPython distribution of the #Python programming language. The files are unofficial (meaning: informal, unrecognized, personal, unsupported, no warranty, no liability, provided "as is") and made available for testing and evaluation purposes.
@djangoproject · Post #225 · 01/15/2017, 07:15 AM
http://www.pyinstaller.org/ #PyInstaller is a program that #freezes (#packages) Python programs into #stand_alone#executables, under Windows, Linux, Mac OS X, FreeBSD, Solaris and AIX. Its main advantages over similar tools are that PyInstaller works with Python 2.7 and 3.3—3.5, it builds smaller executables thanks to transparent compression, it is fully multi-platform, and use the OS support to load the dynamic libraries, thus ensuring full compatibility.
@djangoproject · Post #535 · 12/28/2017, 10:12 AM
https://docs.pipenv.org/ #Pipenv — the officially recommended #Python#packaging tool from Python.org, free (as in freedom). Pipenv is a tool that aims to bring the best of all packaging worlds (#bundler, #composer, #npm, #cargo, #yarn, etc.) to the Python world. #Windows is a first–class citizen, in our world. It automatically creates and manages a #virtualenv for your projects, as well as adds/removes #packages from your #Pipfile as you install/uninstall packages. It also generates the ever–important Pipfile.lock, which is used to produce deterministic builds.