Yicong-Huang commented on issue #4317: URL: https://github.com/apache/texera/issues/4317#issuecomment-4292862741
conda is env + package management. pyenv + pip should be able to support the same experience. But after some research they each have different coverage: * pip installs from PyPI and focuses on Python packages. * conda installs from conda channels and can provide Python, C/C++ libs, runtimes, CUDA-related pieces, and other non-Python dependencies together. But on python libraries, many more packages are pip/PyPI-only than conda-only. PyPI is the larger ecosystem, and even Anaconda’s own docs say you may need pip when a package or version is not available in conda channels. With those understanding, and since we are targeting data science, I think we might need a solution with conda + pip. Note that this is different from letting users to choose alternative, but we offer conda + pip bundle as the only solution. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
