TGINSIGHT SIMILAR POSTS
Source channel @githubtrending · Post #15229 · Oct 16
#javascript#cloudflare#dns#domain#domains#free#free_domain#free_domains#free_for_dev#free_for_developers#github_pages#subdomain#subdomains#website You can get free subdomains for personal or open-source projects from Open Domains by registering through their GitHub repository. They offer several domain options with strong security features like SSL, HTTPS, and DNSSEC, ensuring your site is safe and reliable. You submit a pull request with your subdomain details, and after approval, your domain is ready to use, usually within minutes. This service is great if you want a free, easy-to-set-up web address for your project without buying a domain, saving you money and effort while maintaining good security and performance. Donations help keep the service running. https://github.com/open-domains/register
Search: #packages
@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.