Eversmile12

# Python program to create Blockchain

# For timestamp
import datetime

# Calculating the hash
# in order to add digital
# fingerprints to the blocks
import hashlib

idleberg

Open in Visual Studio Code

• Open Automator
• Create a new document
• Select Quick Action
• Set “Service receives selected” to files or folders in any application
• Add a Run Shell Script action
  • your default shell should already be selected, otherwise use /bin/zsh for macOS 10.15 (”Catalina”) or later
  • older versions of macOS use /bin/bash
• if you're using something else, you probably know what to do 😉

tiglek

네이버 나눔 글꼴(https://zetawiki.com/wiki/%EB%82%98%EB%88%94%EA%B8%80%EA%BC%B4)

• Font Preview

Download and Install

# download and extract font files(.ttf)
wget http://cdn.naver.com/naver/NanumFont/fontfiles/NanumFont_TTF_ALL.zip
wget https://github.com/naver/nanumfont/releases/download/VER2.5/NanumGothicCoding-2.5.zip
unzip NanumFont_TTF_ALL.zip

garethrees

diskutil list
diskutil unmountDisk /dev/disk2
diskutil eraseDisk FAT32 SANDISK /dev/disk2

vadimkantorov

# ported from https://github.com/pvigier/perlin-numpy/blob/master/perlin2d.py

import torch
import math

def rand_perlin_2d(shape, res, fade = lambda t: 6*t**5 - 15*t**4 + 10*t**3):
    delta = (res[0] / shape[0], res[1] / shape[1])
    d = (shape[0] // res[0], shape[1] // res[1])
    
    grid = torch.stack(torch.meshgrid(torch.arange(0, res[0], delta[0]), torch.arange(0, res[1], delta[1])), dim = -1) % 1

bradtraversy

MySQL Cheat Sheet

Help with SQL commands to interact with a MySQL database

MySQL Locations

• Mac /usr/local/mysql/bin
• Windows /Program Files/MySQL/MySQL version/bin
• Xampp /xampp/mysql/bin

Add mysql to your PATH

cshjin

yalmip('clear')

T = [0 1 0 1; 1 0 1 0; 0 1 0 1; 1 0 1 0];

x = sdpvar(4, 1);
y = sdpvar(4, 1);
assign(x, randn(4, 1));
assign(y, randn(4, 1));
const = [x'*x <= 1; y'*y <=1];
% const = [];

ServerlessBot

{
    "Statement": [
        {
            "Action": [
                "apigateway:*",
                "cloudformation:CancelUpdateStack",
                "cloudformation:ContinueUpdateRollback",
                "cloudformation:CreateChangeSet",
                "cloudformation:CreateStack",
                "cloudformation:CreateUploadBucket",

erenon

# This example shows how to use keras TensorBoard callback
# with model.train_on_batch

import tensorflow.keras as keras

# Setup the model
model = keras.models.Sequential()
model.add(...) # Add your layers
model.compile(...) # Compile as usual

N-McA

def tf_pca(x):
    '''
        Compute PCA on the bottom two dimensions of x,
        eg assuming dims = [..., observations, features]
    '''
    # Center
    x -= tf.reduce_mean(x, -2, keepdims=True)

    # Currently, the GPU implementation of SVD is awful.
    # It is slower than moving data back to CPU to SVD there