GitHub supports several lightweight markup languages for documentation; the most popular ones (generally, not just at GitHub) are Markdown and reStructuredText. Markdown is sometimes considered easier to use, and is often preferred when the purpose is simply to generate HTML. On the other hand, reStructuredText is more extensible and powerful, with native support (not just embedded HTML) for tables, as well as things like automatic generation of tables of contents.
Last Update: May 13, 2019
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Python version of the MATLAB code in this Stack Overflow post: https://stackoverflow.com/a/18648210/97160
The example shows how to determine the best-fit plane/surface (1st or higher order polynomial) over a set of three-dimensional points.
Implemented in Python + NumPy + SciPy + matplotlib.
Slack doesn't provide an easy way to extract custom emoji from a team. (Especially teams with thousands of custom emoji) This Gist walks you through a relatively simple approach to get your emoji out.
If you're an admin of your own team, you can get the list of emoji directly using this API: https://api.slack.com/methods/emoji.list. Once you have it, skip to Step 3
HOWEVER! This gist is intended for people who don't have admin access, nor access tokens for using that list.
Follow along...
Find out how much memory each of the jupyter notebooks running on a server is using. Helpful for knowing which ones to shut down.
Original code from http://stackoverflow.com/questions/34685825/jupyter-notebook-memory-usage-for-each-notebook
You'll need to
pip install tabulate psutil pandas requests
To verify that your GPU is CUDA-capable, go to your distribution's equivalent of System Properties, or, from the command line, enter:
lspci | grep -i nvidia
If you do not see any settings, update the PCI hardware database that Linux maintains by entering update-pciids (generally found in /sbin) at the command line and rerun the previous lspci command.
If your graphics card is from NVIDIA and it is listed in CUDA-GPUS, your GPU is CUDA-capable.
{"lastUpload":"2020-08-05T17:57:14.476Z","extensionVersion":"v3.4.3"} |
# Requirements: | |
# HDF5 library version 1.10.5 or later | |
# h5py version 3.0 or later | |
# pip install git+https://github.com/HDFGroup/zarr-python.git@hdf5 | |
import logging | |
from urllib.parse import urlparse, urlunparse | |
import numpy as np | |
import h5py | |
import zarr |