wynand1004

# Simple Snake Game in Python 3 for Beginners
# By @TokyoEdTech

import turtle
import time
import random

delay = 0.1

# Score

1st1

import asyncio
import random
import time


async def worker(name, queue):
    while True:
        # Get a "work item" out of the queue.
        sleep_for = await queue.get()

Mahedi-61

#!/bin/bash

### steps ####
# Verify the system has a cuda-capable gpu
# Download and install the nvidia cuda toolkit and cudnn
# Setup environmental variables
# Verify the installation
###

### to verify your gpu is cuda enable check

kittinan

import cv2
import io
import socket
import struct
import time
import pickle
import zlib

client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
client_socket.connect(('192.168.1.124', 8485))

martinohanlon

"""
An adaptation of Adafruit's thermal camera example which
uses the sense hat to display temperatures.

Martin O'Hanlon
@martinohanlon
stuffaboutco.de
"""
from sense_hat import SenseHat
from Adafruit_AMG88xx import Adafruit_AMG88xx

Andrew-rw

Panels:
  - Class: rviz/Displays
    Help Height: 129
    Name: Displays
    Property Tree Widget:
      Expanded:
        - /Global Options1
        - /Status1
        - /LaserScan1
        - /PointCloud21

jorgesaldivar

# MAC OS Theme that will make the terminal look like Ubuntu

# This theme has been created from scratch by fetching all the ANSI colors and fonts from Ubuntu.
# With the exception of the following command fetched from 
# http://osxdaily.com/2012/02/21/add-color-to-the-terminal-in-mac-os-x/ 
# command: "export LSCOLORS=ExFxBxDxCxegedabagacad"


# 1) Copy the following under ~/.bash_profile and restart the terminal.

ritiek

from keras.models import load_model
from keras.preprocessing import image
import numpy as np
import os

# image folder
folder_path = '/path/to/folder/'
# path to model
model_path = '/path/to/saved/model.h5'
# dimensions of images

lpillmann

#!/usr/bin/env python
'''Crop an image to just the portions containing text.

Usage:

    ./crop_morphology.py path/to/image.jpg

This will place the cropped image in path/to/image.crop.png.

For details on the methodology, see

Breta01

import tensorflow as tf
### Linear Regression ###
# Input placeholders
x = tf.placeholder(tf.float32, name='x')
y = tf.placeholder(tf.float32, name='y')
# Model parameters
W1 = tf.Variable([0.1], tf.float32)
W2 = tf.Variable([0.1], tf.float32)
W3 = tf.Variable([0.1], tf.float32)
b = tf.Variable([0.1], tf.float32)