-
brew install gnupg21, pinentry-mac
(this includes gpg-agent and pinentry) -
Generate a key:
$ gpg2 --gen-key
-
Take the defaults. Whatevs
-
Tell gpg-agent to use pinentry-mac:
$ vim ~/.gnupg/gpg-agent.conf
2018-09-13 14:47:42.989 INFO 1 --- [cTaskExecutor-1] c.f.c.d.m.a.l.WorkflowLaunchingListener : Received workflow launching message: WorkflowLaunchingMessage[workflowId=05520172-ca48-4136-8c59-3ae2cc8254fb, workflowStepId=94cee9bf-0329-471d-a27c-b3559967f63b, workflowName='null', jobId=66, dataUploadIds=null, userApiKey='********7Ye6', totalWorkflowRows=3] | |
2018-09-13 14:47:42.990 WARN 1 --- [cTaskExecutor-1] s.a.r.l.ConditionalRejectingErrorHandler : Execution of Rabbit message listener failed. | |
2018-09-13T14:47:42.990526574Z | |
org.springframework.amqp.rabbit.listener.exception.ListenerExecutionFailedException: Listener method 'public void com.figureeight.client.data.materializer.api.listener.WorkflowLaunchingListener.receiveWorkflowLaunchingMessage(com.figureeight.client.data.materializer.api.domain.broker.WorkflowLaunchingMessage)' threw exception | |
at org.springframework.amqp.rabbit.listener.adapter.MessagingMessageListenerAdapter.invokeHandler(MessagingMessageListenerAdapter.java:190) ~[spring-rabbit-2.0.4. |
This is an incomplete, ever-changing curated list of content to assist people into the worlds of Data Science and Machine Learning. If you have a recommendation for something to add, please let me know. If something isn't here, it doesn't mean I don't recommend it, I just may not have had a chance to review it yet or not.
I will generally list things in order of easier to more formal/challenging content.
It may feel like there is an overwhelming amount of stuff for you to learn (because there is). But, there is a guided path that will get you there in time. You need to focus on Linear Algebra, Calculus, Statistics and probably Python (or R). Your best bet is to get a Safari Books Online account (https://www.safaribooksonline.com) which you may already have access to through school or work. If not, it is a reasonable way to get access to a tremendous number of books and videos.
I'm not saying you will get what you need out of everything here, but I have read/watched at least some of all of the following an
1. Soft Fix | |
docker rmi $(docker images -q -f "dangling=true") | |
# Start env | |
docker system prune | |
docker volume prune | |
2. Hard | |
rm ~/Library/Containers/com.docker.docker/Data/com.docker.driver.amd64-linux/Docker.qcow2 | |
restart docker |
git gc --prune=now |
background-image: url("data:image/{type};base64,{code}"); |
git update-index --assume-unchanged <path&filename> |