zxexz

#! /usr/bin/env python3
def replace_contents(
        string: str,
        search_string: str,
        replace_string: str = "",
        global_replace: bool = False,
        terminate_char: str = ' ',
        return_type: type = str,
        memoryview_cast: str = '@c'
):

soumith

conda uninstall --force pillow -y

# install libjpeg-turbo to $HOME/turbojpeg
git clone https://github.com/libjpeg-turbo/libjpeg-turbo
pushd libjpeg-turbo
mkdir build
cd build
cmake .. -DCMAKE_INSTALL_PREFIX:PATH=$HOME/turbojpeg
make
make install

drdavella

#!/usr/bin/env python
from argparse import ArgumentParser
from multiprocessing import Process, Array, Pipe, Queue

from timeit import default_timer as timer
import numpy as np


def process_with_array(dest, source):
    input_data = np.array(source, copy=False, dtype=float)

qlkvg

#!/usr/bin/python
import cv2
import numpy as np
from primesense import openni2
from primesense import _openni2 as c_api
openni2.initialize("<PATH TO OPENNI2 REDIST FOLDER>")
dev = openni2.Device.open_any()
depth_stream = dev.create_depth_stream()
depth_stream.start()
depth_stream.set_video_mode(c_api.OniVideoMode(pixelFormat = c_api.OniPixelFormat.ONI_PIXEL_FORMAT_DEPTH_100_UM, resolutionX = 640, resolutionY = 480, fps = 30))

miglen

Amazon Web Services (AWS) & Google Cloud Platform (GCP) explained in simple English

This guide is only representative from my point of view and it may not be accurate and you should go on the official AWS & GCP websites for accurate and detailed information. It's initially inspired by AWS in simple English and GCP for AWS professionals. The idea is to compare both services, give simple one-line explanation and examples with other software that might have similiar capabilities. Comment below for suggestions.

Category	Service	AWS	GCP	Description	It's like
Compute	IaaS	Amazon Elastic Compute Cloud (EC2)	Google Compute Engine	Type-1 virtual servers	VMware ESXi, Citrix XenServer
	PaaS	AWS Elastic Beanstalk	Google App Engine	Running your app on a platform

njsmith

import ctypes

PyFrame_LocalsToFast = ctypes.pythonapi.PyFrame_LocalsToFast
PyFrame_LocalsToFast.argtypes = [ctypes.py_object]

# Doing this with cython instead of ctypes would be much easier (and more
# robust). I just do it this way to keep the example self-contained.
frameobject_fields = [
    # PyObject_VAR_HEAD
    ("ob_refcnt", ctypes.c_int64),