braindevices

#btrfs benchmark for daily used desktop OS

andrewlkho

These instructions are for implementing HTTPS on a NFSN-hosted static site using a certificate from Let's Encrypt. The certificate is generated manually on a separate computer.

Start off by installing the letsencrypt client. This requires sudo privileges and will install a bunch of packages:

% curl -O https://dl.eff.org/certbot-auto
% chmod +x ./certbot-auto
% ./certbot-auto

Generate the certificate. This will require you to publish some challenge responses on NFSN. I find it easiest to use tmux with letsencrypt running in one window and an SSH session to NFSN in another:

ololobus

Apache Spark installation + ipython/jupyter notebook integration guide for macOS

Tested with Apache Spark 2.1.0, Python 2.7.13 and Java 1.8.0_112

For older versions of Spark and ipython, please, see also previous version of text.

Install Java Development Kit

brianclements

Commit Message Format

This specification is inspired by and supersedes the [AngularJS commit message format][commit-message-format].

We have very precise rules over how our Git commit messages must be formatted. This format leads to easier to read commit history.

Each commit message consists of a header, a body, and a footer.

staltz

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

---

This tutorial as a series of videos

If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.

---

dopiaza

#!/bin/bash

# Usage: slackpost <token> <channel> <message>

# Enter the name of your slack host here - the thing that appears in your URL:
# https://slackhost.slack.com/
slackhost=PUT_YOUR_HOST_HERE

token=$1

minrk

#!/usr/bin/env python
"""strip outputs from an IPython Notebook

Opens a notebook, strips its output, and writes the outputless version to the original file.

Useful mainly as a git filter or pre-commit hook for users who don't want to track output in VCS.

This does mostly the same thing as the `Clear All Output` command in the notebook UI.

LICENSE: Public Domain

jboner

Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD

minrk

#!/usr/bin/env python
"""
simple example script for running and testing notebooks.

Usage: `ipnbdoctest.py foo.ipynb [bar.ipynb [...]]`

Each cell is submitted to the kernel, and the outputs are compared with those stored in the notebook.
"""
# License: Public Domain, but credit is nice (Min RK).