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Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.

Discussion on reddit.

Python 2.x

$ python -m SimpleHTTPServer 8000

Default

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ANNOUNCEMENT

I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!

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NOTE: This is a question I found on StackOverflow which I’ve archived here, because the answer is so effing phenomenal.

Q: How can I make a chain of function decorators in Python?

If you are not into long explanations, see [Paolo Bergantino’s answer][2].

Building Complex Drag & Drop Visual AI Workflows with React Flow and Python Flask

Created by @rUv

This tutorial demonstrates how to create a Python Flask implementation with React Flow to build complex AI workflows, reasoning systems, and comprehension modeling tools.

React Flow is a powerful open-source library for building interactive node-based interfaces in React applications. Its flexibility and extensibility make it an excellent choice for creating sophisticated AI applications.

	# Name: Makefile
	# Author: <insert your name here>
	# Copyright: <insert your copyright message here>
	# License: <insert your license reference here>

	# DEVICE ....... The AVR device you compile for
	# CLOCK ........ Target AVR clock rate in Hertz
	# OBJECTS ...... The object files created from your source files. This list is
	# usually the same as the list of source files with suffix ".o".
	# PROGRAMMER ... Options to avrdude which define the hardware you use for

	import Foundation
	import objc
	import AppKit
	import sys

	NSUserNotification = objc.lookUpClass('NSUserNotification')
	NSUserNotificationCenter = objc.lookUpClass('NSUserNotificationCenter')

	def notify(title, subtitle, info_text, delay=0, sound=False, userInfo={}):
	notification = NSUserNotification.alloc().init()

	{
	"A": "Alfa",
	"B": "Bravo",
	"C": "Charlie",
	"D": "Delta",
	"E": "Echo",
	"F": "Foxtrot",
	"G": "Golf",
	"H": "Hotel",
	"I": "India",

	import json

	from .utils import copy_body


	class JSONRequest(dict):
	def __init__(self, request):
	try:
	data = json.loads(copy_body(request))
	self.is_valid = True

	AWSTemplateFormatVersion: "2010-09-09"
	# revisit this: https://github.com/aws-amplify/amplify-cli/issues/3240#issuecomment-623080190
	Parameters:
	env:
	Type: String
	Description: The environment name. e.g. Dev, Test, or Production.
	Default: NONE
	authRoleName:
	Type: String
	Description: Name of authRole