🚚 The bookmarklet has moved to https://github.com/bramus/mastodon-profile-redirect/
Getting an on-call page is the worst. Unfortunately most task-based orchestrators page teams frequently, whenever jobs fail. With Dagster you can reduce this alert fatigue by using retry strategies and only getting notified when SLAs are violated.
Resources:
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
#!/usr/bin/env bash | |
# Find the latest Amazon-created "Deep Learning AMI (Ubuntu 18.04)" AMI image ID | |
# | |
# args explanation: | |
# --region us-east-1 | |
# Specifies the AWS region (you can also specify it in your | |
# ~/.aws/config or via the `AWS_REGION` or `AWS_DEFAULT_REGION` | |
# env vars) | |
# |
graph TD;
A-->B;
A-->C;
B-->D;
C-->D;
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import pymc3 as pm | |
import numpy as np | |
import arviz as az | |
%config InlineBackend.figure_format = 'retina' | |
# Data from https://twitter.com/tomstafford/status/1456914037195907079?s=20 | |
N = np.array([1258, 280]) # total number of caffiene and non-caffiene drinkers | |
k = np.array([966, 168]) # total number of those who have favourite mugs | |
def cohens_h(p): |
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.