This is a guide that I wrote to improve the default security of my website https://fortran.io , which has a certificate from LetsEncrypt. I'm choosing to improve HTTPS security and transparency without consideration for legacy browser support.
I would recommend these steps only if you have a specific need for information security, privacy, and trust with your users, and/or maintain a separate secure.example.com domain which won't mess up your main site. If you've been thinking about hosting a site on Tor, then this might be a good option, too.
The best resources that I've found for explaining these steps are https://https.cio.gov , https://certificate-transparency.org , and https://twitter.com/konklone
This procedure explains how to install MySQL using Homebrew on macOS Sierra 10.12
$ /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"At this time of writing, Homebrew has MySQL version 5.7.15 as default formulae in its main repository :
| package codejam | |
| import java.io.{PrintStream, File} | |
| import scala.annotation.tailrec | |
| import scala.io.Source | |
| object CountingSheep { |
| #!/usr/bin/env python2 | |
| # -*- coding: UTF-8 -*- | |
| # Note: A newer version of this script is located at https://github.com/trustin/smi2ass | |
| # | |
| # Copyright (C) 2018 Trustin Heuiseung Lee and other contributors | |
| # | |
| # This program is free software; you can redistribute it and/or | |
| # modify it under the terms of the GNU General Public License | |
| # as published by the Free Software Foundation; either version 2 | |
| # of the License, or (at your option) any later version. |
| #!/usr/bin/env python2 | |
| # -*- coding: utf-8 -*- | |
| from __future__ import division | |
| import numpy as np | |
| from math import cos, sin, pi, sqrt, atan2 | |
| d2r = pi/180 | |
| class Geometry(object): | |
| def circle_intersection(self, circle1, circle2): |
| #!/bin/bash | |
| # Centos 7/8 John the Ripper Installation | |
| #release=(j 1.8.0) | |
| release=(k 1.9.0) | |
| # Check Centos version | |
| if [ -f /etc/redhat-release ] ; then | |
| source /etc/os-release | |
| if [ $VERSION_ID == "8" ] ; then | |
| packager=dnf | |
| elif [ $VERSION_ID == "7" ] ; then |
| # Implementation of a simple MLP network with one hidden layer. Tested on the iris data set. | |
| # Requires: numpy, sklearn>=0.18.1, tensorflow>=1.0 | |
| # NOTE: In order to make the code simple, we rewrite x * W_1 + b_1 = x' * W_1' | |
| # where x' = [x | 1] and W_1' is the matrix W_1 appended with a new row with elements b_1's. | |
| # Similarly, for h * W_2 + b_2 | |
| import tensorflow as tf | |
| import numpy as np | |
| from sklearn import datasets | |
| from sklearn.model_selection import train_test_split |
| import android.os.Build; | |
| /** | |
| * Utility methods related to physical devies and emulators. | |
| */ | |
| public class DeviceUtil { | |
| public static boolean isEmulator() { | |
| return Build.FINGERPRINT.startsWith("generic") | |
| || Build.FINGERPRINT.startsWith("unknown") |
| with table_stats as ( | |
| select psut.relname, | |
| psut.n_live_tup, | |
| 1.0 * psut.idx_scan / greatest(1, psut.seq_scan + psut.idx_scan) as index_use_ratio | |
| from pg_stat_user_tables psut | |
| order by psut.n_live_tup desc | |
| ), | |
| table_io as ( | |
| select psiut.relname, | |
| sum(psiut.heap_blks_read) as table_page_read, |