Palash Tyagi Magnus167

NOTICE:

TLDR : Not my original work, I copied it over as I needed it to be in markdown formatting.

This is not my own content, and is merely curated here for accessibilty and sharing. The below article has been copied from https://www.joelsleppy.com/blog/gunicorn-application-preloading/, with all rights to intellectual property reserved by the authors/domain-owners.

Gunicorn Application Preloading

An i9/i7 CPU uses about 150W (watts) of power. Which means that it somehow "dissipates" that much energy, mostly heat. Let's say it dissipates 120W as heat, which is a fair estimate.

Let's say the CPU weights about 60g = 0.06kg. That means that the CPU dissipates :

120W/0.06kg = 2000W/kg of heat.

For argument's sake let's say this is some new age alien tech that only dissipates 1 W as heat. That would imply our CPU dissipates :

1W/0.06kg = 16.7W/kg of heat.

Explanation of the relationship between python logging root logger and other loggers

	import logging
	from logging.handlers import RotatingFileHandler

	def setup_logger():
	MAX_BYTES = 10000000 # Maximum size for a log file
	BACKUP_COUNT = 9 # Maximum number of old log files

	# The name should be unique, so you can get in in other places
	# by calling `logger = logging.getLogger('com.dvnguyen.logger.example')
	logger = logging.getLogger('com.dvnguyen.logger.example')

	import pandas as pd
	from typing import *

	df : pandas.Dataframe = some_stuff()

	print(f"Size of dataframe: {df.memory_usage().sum() / 1024**2:.2f} MB")


	import sys
	sys.path.append('../')

	import somePackage
	from otherPackage import moduleX

	# - base_folder/
	# - - dev/
	# - - - > this_file.py

	from math import floor
	t = [ 0 ,
	10000 ,
	10/100 ,
	floor(10/100) ,
	[] ,
	[1] ,
	{} ,
	{"a":1},
	'',

	import logging, sys, uuid
	# pip install logging_tree
	import logging_tree
	import functools
	from time import sleep


	############################################################################################################

	# Some wierd calculations; don't read into them