Open deeplook opened 9 years ago
This is because only a handful of packages have been packaged for the Raspberry Pi 2. I am working on expanding the number packages in the future, though I don't have a time frame yet.
Is there any way to help? And is there a list of supported packages per platform?
Here is an index of all the packages available on repo.continuum.io
Arm7 updates probably will not arrive until after the Anaconda 2.4 release. At the moment there is not a way for outside help with arm7 port. Hopefully, that will change in the future.
@groutr Thanks for the update. Just double checking for others using Raspberry Pi 2:
Miniconda installer page http://repo.continuum.io/miniconda/
Miniconda file for RPi2: Miniconda3-latest-Linux-armv7l.sh 29.9M 2015-08-24 11:01:17 a01cbe45755d576c2bb9833859cf9fd7
Arm7 package list: http://repo.continuum.io/pkgs/free/linux-armv7l/
Oops. sorry. I copied the link and forgot to paste it. Thanks for posting the links.
Is there any update to this? I am particularly interested in additional packages for miniconda on raspberrypi 2 (especially jupyter notebook and pygments). I would love an official build for more packages, but I do understand that all of this takes time and effort.
I have been able to get a number of packages built (I feel I should test the builds before uploading to my channel on binstar and that won't happen until tomorrow) with commands similar to the following, I would like to know if this is bad practice and/or something to be avoided:
git clone https://github.com/conda/conda-recipes.git
cd conda-recipes
ls -ld */ | awk '{ print $9 }' | sed -e 's/\///g' > /tmp/recipes
for recipe in `cat /tmp/recipes`
do
conda build $recipe
done
Please note that this is my first time even attempting to build a conda recipe much less installing or uploading, so if there's anything obvious I'm missing please let me know.
I'm trying to install some packages from Continuum et al. on a Raspberry Pi 2, see https://www.continuum.io/content/conda-support-raspberry-pi-2-and-power8-le. Using (mini-)conda promises to save a lot of time, and works great, at least for
numpy
andpandas
, giving me install speedups about 60x compared with compiling from source. Unfortunately, that doesn't work forbokeh
and I'm getting this error below.If I install
anaconda-client
as demanded I still get the same error when trying to install bokeh, again.It would be nice to have all packages from Continuum available for all platforms without exception.