Michail Liarmakopoulos mlliarm

How to instrument a FastAPI python application with Elastic APM

Either in ECH or in other platforms (ECK, ECE, etc).

It should have an APM server.

You were dumb enough to give 15 GB space to / partition and /var gets full when firing more than one docker container.

Luckily you'd partitioned your disks using LVM, and have left 100 GB of free space just in case they were needed.

The issue is that if one follows the usual steps, the keyboard layout handler doesn't change the layouts. It's a very well known issue.

From the above link, and most specifically this post, the solution is as follows:

I really love listening to music when programming, on my old Linux laptop.

So, to save resources I looked for a CLI Youtube app. And there is an amazing one.

Yewtube is a fork of mps-youtube. Find yewtube here. Follow the instructions in the README.md file to install it.
Suggestion: install it within a virtual environment (virtualenv).

From the above websites I found after some testing that the most reliable and useful in the 'free' tier are:

	NB. This problem was read in the blogpost (https://www.glc.us.es/~jalonso/exercitium/numeros-libres-de-cuadrados/) of @Jose_A_Alonso.
	NB. Problem statement: given a positive integer N, it's called square-free if no square number (eg 2^2, 11^11) can be created from its prime divisors.
	NB. Created using the J903 online playground (https://jsoftware.github.io/j-playground/bin/html2/).

	NB. Let's get the matrix of the prime divisors of an array of integers
	q: @> 10 30 40 1000 11 121
	NB. 2 5 0 0 0 0
	NB. 2 3 5 0 0 0
	NB. 2 2 2 5 0 0
	NB. 2 2 2 5 5 5

	# Credit to `oskar31415` from the r/APLjk discord server for sharing the code and his friend for writing it.
	'''
	Original code:

	(lambda N,P:(lambda f,i:P.show(__import__('matplotlib.animation',fromlist=['FuncAnimation']).FuncAnimation(f,lambda i:[i.set_array((lambda g:(lambda n:N.logical_or(n==3,N.logical_and(g,n==2)))((N.sum([N.roll(N.roll(g,y,1),x,0)for x in(-1,0,1)for y in(-1,0,1)if x\|y],0))))(i.get_array())),[i]][1],interval=0,blit=1)))(P.figure(),P.imshow(N.random.rand(200,400)<.2,)))(__import__("numpy"),__import__("matplotlib.pyplot"))
	'''

	# Expanded by mlliarm@
	import pdb
	try: