Using Python's built-in defaultdict we can easily define a tree data structure:
def tree(): return defaultdict(tree)That's it!
| --- PSQL queries which also duplicated from https://github.com/anvk/AwesomePSQLList/blob/master/README.md | |
| --- some of them taken from https://www.slideshare.net/alexeylesovsky/deep-dive-into-postgresql-statistics-54594192 | |
| -- I'm not an expert in PSQL. Just a developer who is trying to accumulate useful stat queries which could potentially explain problems in your Postgres DB. | |
| ------------ | |
| -- Basics -- | |
| ------------ | |
| -- Get indexes of tables |
| """ | |
| Simple example of manually performing "automatic" differentiation | |
| """ | |
| import numpy as np | |
| from numpy import exp, sin, cos | |
| def f(x, with_grad=False): | |
| # Need to cache intermediates from forward pass (might not use all of them). | |
| a = exp(x) |
| # start / stop / restart / status | |
| systemctl start test | |
| systemctl stop test | |
| systemctl restart test | |
| systemctl status test | |
| # logs use journalctl: | |
| # tail the logs for unit `django` | |
| journalctl -f -u django |
| SSH agent forwarding is great. It allows you to ssh from one server to | |
| another all the while using the ssh-agent running on your local | |
| workstation. The benefit is you don't need to generate ssh key pairs | |
| on the servers you are connecting to in order to hop around. | |
| When you ssh to a remote machine the remote machine talks to your | |
| local ssh-agent through the socket referenced by the SSH_AUTH_SOCK | |
| environment variable. | |
| So you the remote server you can do something like: |
Using Python's built-in defaultdict we can easily define a tree data structure:
def tree(): return defaultdict(tree)That's it!