bgdnlp

#!/usr/bin/env python3
# Demonstrates the use of Python to work with Cognito.
# Create a new a user, log in, check tokens and call an API.
# The purpose was to learn about Cognito. Security has been
# circumvented in the interest of keeping it simple.
# Notably, the authentication procedure uses the most insecure
# method. This code is not intended for use in production.
#
# https://www.neant.ro/aws/working-with-cognito-and-api-gateway-in-python.html

zachbrowne

#!/bin/bash
iatest=$(expr index "$-" i)

#######################################################
# SOURCED ALIAS'S AND SCRIPTS BY zachbrowne.me
#######################################################

# Source global definitions
if [ -f /etc/bashrc ]; then
	 . /etc/bashrc

dmontagu

import inspect
from typing import Any, Callable, List, Type, TypeVar, Union, get_type_hints

from fastapi import APIRouter, Depends
from pydantic.typing import is_classvar
from starlette.routing import Route, WebSocketRoute

T = TypeVar("T")

CBV_CLASS_KEY = "__cbv_class__"

KartikTalwar

The fastest remote directory rsync over ssh archival I can muster (40MB/s over 1gb NICs)

This creates an archive that does the following:

rsync (Everyone seems to like -z, but it is much slower for me)

• a: archive mode - rescursive, preserves owner, preserves permissions, preserves modification times, preserves group, copies symlinks as symlinks, preserves device files.
• H: preserves hard-links
• A: preserves ACLs

UniIsland

#!/usr/bin/env python

"""Simple HTTP Server With Upload.

This module builds on BaseHTTPServer by implementing the standard GET
and HEAD requests in a fairly straightforward manner.

"""

mivade

import asyncio
from pathlib import Path
from typing import Optional

from watchdog.events import FileSystemEvent, FileSystemEventHandler
from watchdog.observers import Observer


class _EventHandler(FileSystemEventHandler):
    def __init__(self, queue: asyncio.Queue, loop: asyncio.BaseEventLoop,

wfng92

#!/bin/bash
source /home/project/myenv/bin/activate
cd /home/project/server
PID=$(ps aux | grep 'uvicorn myapp:app' | grep -v grep | awk {'print $2'} | xargs)
if [ "$PID" != "" ]
then
kill -9 $PID
sleep 2
echo "" > nohup.out
echo "Restarting FastAPI server"

jaantollander

import functools


def decorator(function):
    """A general decorator function"""

    @functools.wraps(function)
    def wrapper(*args, **kwargs):
        # Write decorator function logic here
        # Before function call

leplatrem

import asyncio
import async_timeout
import concurrent.futures
import random
import time


async def produce(queue, n):
    for x in range(n):
        # produce an item

shagunsodhani

A Few Useful Things to Know about Machine Learning

The paper presents some key lessons and "folk wisdom" that machine learning researchers and practitioners have learnt from experience and which are hard to find in textbooks.

1. Learning = Representation + Evaluation + Optimization

All machine learning algorithms have three components:

• Representation for a learner is the set if classifiers/functions that can be possibly learnt. This set is called hypothesis space. If a function is not in hypothesis space, it can not be learnt.
• Evaluation function tells how good the machine learning model is.
• Optimisation is the method to search for the most optimal learning model.