kevingoh

import ui, io, gc
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image as PILImage
from PIL import ImageChops as chops
from ImageColor import getrgb 
import console, math, random, ImageMath
from time import time
import objc_util

kevingoh

#!python3
'''
This is a demo of how you can use the CoreML framework (via objc_util) to classify images in Pythonista. It downloads the trained 'MobileNet' CoreML model from the Internet, and uses it to classify images that are either taken with the camera, or picked from the photo library.
'''

import requests
import os
import io
import photos
import dialogs

kevingoh

#!/usr/local/bin/python
from pyPdf import PdfFileWriter, PdfFileReader
import random
from pprint import pprint as pp
import sys
# sys.setrecursionlimit(10000000)

seed = 'BN9F'
pile = [1]
def getNumber():

kevingoh

Borrowed from:  http://www.labnol.org/software/wget-command-examples/28750/

Wget is extremely powerful, but like with most other command line programs, the plethora of options it supports can be intimidating to new users. Thus what we have here are a collection of wget commands that you can use to accomplish common tasks from downloading single files to mirroring entire websites. It will help if you can read through the wget manual but for the busy souls, these commands are ready to execute.

1. Download a single file from the Internet
wget http://example.com/file.iso

2. Download a file but save it locally under a different name
wget ‐‐output-document=filename.html example.com

kevingoh

import math
import argparse
from sympy.combinatorics import Permutation

def bits_for_value(value):
  return int(math.log2(value))

def decompose(N, R):
  logN2 = bits_for_value(N)
  logR2 = []

kevingoh

Note: I'm currently taking a break from this course to focus on my studies so I can finally graduate

Table of Contents

1. Overview
2. Introduction
3. Interactive Start
4. Linux and Server-Side Javascript
5. Linux Command Line
6. Linux Development Environment

kevingoh

Running Linux and Windows on M1 with QEMU

30.11.2020: Updated with the new patchseries and instructions for Windows

02.12.2020: Added tweaks

08.12.2020: Updated with patchseries v4

31.01.2020: Updated with patchseries v6

kevingoh

Emulating a Raspberry Pi with QEMU

Goal: Emulate a Raspberry Pi with QEMU in order to run the Raspbian O/S (based on Debian Linux).

The current setup is not ideal. For one thing, the maximum RAM allowed using the "versatile-pb" firmware is 256 Mb. In addition, only the most basic peripherals, a keyboard and mouse, are supported.

A number of articles have been written on this topic. Most are outdated, and the few recent ones are missing key information.