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@jasonsnell
jasonsnell / enphase_average.5m.py
Last active November 9, 2024 13:30
Enphase Envoy Local Data - SwiftBar/xBar Menu Bar Script
#! /usr/bin/env python3
# This script is explained here: <https://sixcolors.com/post/2024/10/putting-my-solar-system-in-my-menu-bar/>
# Adapted from [email protected] <https://github.com/grzegorz914/homebridge-enphase-envoy>
# <xbar.title>Enphase Solar (Averages)</bitbar.title>
# <xbar.version>v1.2</xbar.version>
# <xbar.author>Jason Snell</xbar.author>
# <xbar.author.github>jasonsnell</xbar.author.github>
# <xbar.desc>Display local Enphase solar stats.</xbar.desc>
#include <stdio.h>
#include <stdint.h>
// Philips Sonicare NFC Head Password calculation by @atc1441 Video manual: https://www.youtube.com/watch?v=EPytrn8i8sc
uint16_t CRC16(uint16_t crc, uint8_t *buffer, int len) // Default CRC16 Algo
{
while(len--)
{
crc ^= *buffer++ << 8;
int bits = 0;
do
@RamiKrispin
RamiKrispin / coronavirus_daily_by_type.R
Created March 2, 2020 16:50
Coronavirus daily cumulative cases by type
#---------------- Plotting Daily Cumulative Cases of the Coronavirus----------------
# Installing the most update version of the coronavirus
# install.packages("devtools")
devtools::install_github("RamiKrispin/coronavirus")
data("coronavirus")
# Reformat and aggregate the data to daily by country and type of case
df_daily <- coronavirus %>%
dplyr::group_by(date, type) %>%
@nahall
nahall / connecting_to_a_ubiquiti_unifi_vpn_with_a_linux_machine.txt
Last active August 14, 2024 12:12
Connecting to a Ubiquiti Unifi VPN with a Linux machine
This guide assumes that you have already set up a Ubiquiti Unifi VPN following the guide:
https://help.ubnt.com/hc/en-us/articles/115005445768-UniFi-L2TP-Remote-Access-VPN-with-USG-as-RADIUS-Server
To configure a Linux machine to be able to connect remotely I followed these steps. This guide was written for Debian 8.
- In Debian install the "xl2tpd" and "strongswan" packages.
- Edit /etc/ipsec.conf to add the connection:
conn YOURVPNCONNECTIONNAME
@esammer
esammer / dist.xml
Last active August 29, 2015 14:00
How to set up a maven project for sane docbook generation.
<!--
~ Copyright (c) 2014 Scaling Data. All rights reserved. This gist is licensed under the Apache Software License v2.0.
-->
<assembly
xmlns="http://maven.apache.org/plugins/maven-assembly-plugin/assembly/1.1.2"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/plugins/maven-assembly-plugin/assembly/1.1.2 http://maven.apache.org/xsd/assembly-1.1.2.xsd">
<id>dist</id>
@P7h
P7h / jdk_download.sh
Last active July 31, 2024 06:46
Script to download JDK / JRE / Java binaries from Oracle website from terminal / shell / command line / command prompt
##### ##### ##### ##### ##### ##### ##### ##### ##### ##### ##### ##### ##### ##### ##### ##### #####
### Shell script to download Oracle JDK / JRE / Java binaries from Oracle website using terminal / command / shell prompt using wget.
### You can download all the binaries one-shot by just giving the BASE_URL.
### Script might be useful if you need Oracle JDK on Amazon EC2 env.
### Script is updated for every JDK release.
### Features:-
# 1. Resumes a broken / interrupted [previous] download, if any.
# 2. Renames the file to a proper name with including platform info.
@octocat
octocat / .gitignore
Created February 27, 2014 19:38
Some common .gitignore configurations
# Compiled source #
###################
*.com
*.class
*.dll
*.exe
*.o
*.so
# Packages #

Recent versions of Cloudera's Impala added NDV, a "number of distinct values" aggregate function that uses the HyperLogLog algorithm to estimate this number, in parallel, in a fixed amount of space.

This can make a really, really big difference: in a large table I tested this on, which had roughly 100M unique values of mycolumn, using NDV(mycolumn) got me an approximate answer in 27 seconds, whereas the exact answer using count(distinct mycolumn) took ... well, I don't know how long, because I got tired of waiting for it after 45 minutes.

It's fun to note, though, that because of another recent addition to Impala's dialect of SQL, the fnv_hash function, you don't actually need to use NDV; instead, you can build HyperLogLog yourself from mathematical primitives.

HyperLogLog hashes each value it sees, and then assigns them to a bucket based on the low order bits of the hash. It's common to use 1024 buckets, so we can get the bucket by using a bitwise & with 1023:

select
@hadley
hadley / curriculum.md
Created September 27, 2013 20:24
My first stab at a basic R programming curriculum. I think teaching just these topics without overall motivating examples would be extremely boring, but if you're a self-taught R user, this might be useful to help spot your gaps.

Notes:

  • I've tried to break up in to separate pieces, but it's not always possible: e.g. knowledge of data structures and subsetting are tidy intertwined.

  • Level of Bloom's taxonomy listed in square brackets, e.g. http://bit.ly/15gqPEx. Few categories currently assess components higher in the taxonomy.

Programming R curriculum

Data structures

@pbailis
pbailis / list.md
Last active April 15, 2018 08:54
Quick and dirty (incomplete) list of interesting, mostly recent data warehousing/"big data" papers

A friend asked me for a few pointers to interesting, mostly recent papers on data warehousing and "big data" database systems, with an eye towards real-world deployments. I figured I'd share the list. It's biased and rather incomplete but maybe of interest to someone. While many are obvious choices (I've omitted several, like MapReduce), I think there are a few underappreciated gems.

###Dataflow Engines:

Dryad--general-purpose distributed parallel dataflow engine
http://research.microsoft.com/en-us/projects/dryad/eurosys07.pdf

Spark--in memory dataflow
http://www.cs.berkeley.edu/~matei/papers/2012/nsdi_spark.pdf