Axel H. noirbizarre

Python profiling

Benchmarking

pytest-benchmark

https://pytest-benchmark.readthedocs.io/en/latest/

Locust

Standardizing Python tasks management

Abstract

This document is not a PEP but an aggregation of my notes, feedbacks, findings and experiments on this topic. However, it tries to be as close as possible from recent PEPs format for :

me to ensure that I give as much as possible information that would be required for a PEP
readers, to make it as easy as possible to read this document

About

This is a local copy of the commands from:

This guide serves as a reference of collected information necessary for strict management of PGP keys. This includes keeping a master key that always remains

# Boot off a live usb or similar as if you're installing
# If you're more comfortable with a different keyboard layout
$ loadkeys dvorak
# populate the second argument of the cryptsetup command based on this
$ parted <<<'print'
# the third argument may be anything, it needn't be used later
$ cryptsetup open /dev/sda3 foobar
# check your volume groups to see what to mount
$ ls /dev/vg

	from contextlib import asynccontextmanager

	from fastapi import FastAPI, APIRouter


	def fake_answer_to_everything_ml_model(x: float):
	return x * 42


	ml_models = {}

	import json
	from pytezos import pytezos, crypto

	CURVES = b'ed', b'sp', b'p2'


	for curve in CURVES:
	key = crypto.Key.generate(curve=curve)
	filename = f'{key.public_key_hash()}.json'
	with open(filename) as inf:

	'''
	A LibreOffice Calc Python macro exporting each sheet to an individual CSV file.

	The CSV will be named <sheet name>.csv and will be sibling the source file.

	To use this macro, store this file in your LibreOffice Python Scripts dir,
	ie. `~/.config/libreoffice/4/user/Scripts/python/` on Linux
	'''

	import os

	# -- coding: utf-8 --
	from __future__ import unicode_literals, print_function

	import logging
	import sys

	from udata.app import create_app, standalone
	from udata.commands import init_logging
	from udata.search import es, commands as cmd

	db.user.aggregate([
	{ $sort: { created_at: 1 } },
	{
	"$group": {
	_id: "$email",
	dups: { $addToSet: "$_id" } ,
	count: { $sum : 1 }
	}
	},
	{