See the following links for further updates to Github Desktop for Ubuntu. These are official instructions. (also mentioned by fetwar on Nov 3, 2023)
For the sake of "maintaining the tradition" here is the updated version.
See the following links for further updates to Github Desktop for Ubuntu. These are official instructions. (also mentioned by fetwar on Nov 3, 2023)
For the sake of "maintaining the tradition" here is the updated version.
This is a modified gist of Jake Vanderplas wonderful Numba Ball Tree code from the following gist. This gist basically adds the 'nopython' parameter in the jit decorators from the original gist and parallelizes the nearest neighbor query for each of the points.
With some of the new advances in numba and the modifications
from IPython.core.magic import Magics, magics_class, line_magic | |
@magics_class | |
class Imports(Magics): | |
@line_magic | |
def imports(self, opts): | |
lines = [] |
sample_data.nc filter=lfs diff=lfs merge=lfs -text |
TL;DR: Edit .travis.yaml
to install Anaconda and to run conda_upload.sh
after testing. Edit meta.yaml
to take in the environmental variables $VERSION
and $CONDA_BLD_PATH
. Create conda_upload.sh
which sets the needed environmental variables, builds the tar archive, and uploads it to Anaconda. Finally edit some stuff on your Anaconda and Travis CI account so they can talk.
The following steps will detail how to automatically trigger Anaconda builds and uploads from Travis CI. This will only upload successful builds in the master branch and if there are multiple commits in a single day, it'll only keep the latest one. Both of these settings can easily be changed.
First, edit .travis.yml
so that it installs Anaconda.
install:
# command: source | |
# Allow autocomplete for conda environments | |
_complete_source_activate_conda(){ | |
if [ ${COMP_WORDS[COMP_CWORD-1]} != "activate" ] | |
then | |
return 0 | |
fi | |
local cur=${COMP_WORDS[COMP_CWORD]} | |
COMPREPLY=($(ls ~/anaconda3/envs | xargs -I dirs bash -c "compgen -W dirs $cur")) |
I recently had several days of extremely frustrating experiences with service workers. Here are a few things I've since learned which would have made my life much easier but which isn't particularly obvious from most of the blog posts and videos I've seen.
I'll add to this list over time – suggested additions welcome in the comments or via twitter.com/rich_harris.
Chrome 51 has some pretty wild behaviour related to console.log
in service workers. Canary doesn't, and it has a load of really good service worker related stuff in devtools.
# Example animations using matplotlib's FuncAnimation | |
# Ken Hughes. 18 June 2016. | |
# For more detail, see | |
# https://brushingupscience.wordpress.com/2016/06/21/matplotlib-animations-the-easy-way/ | |
# Examples include | |
# - line plot | |
# - pcolor plot | |
# - scatter plot |