adampetrovic

This is my 'homebrew' version of the brew-by-weight functionality that comes with a Linea Mini plus the LaMarzocco + Acaia proprietary scales. Given I have a Micra, this functionality isn't supported out of the box.

It uses:

• ESPHome to connect to my Acaia Lunar scales over Bluetooth using a forked version of https://github.com/open-lcc/esphome-acaia-component (my forked version fixes the flow calculation)
• The LaMarzocco custom HomeAssistant integration: https://github.com/zweckj/lamarzocco

How it works:

• input_number.coffee_target_weight: used to set the desired weight

djspiewak

Quick Tips for Fast Code on the JVM

I was talking to a coworker recently about general techniques that almost always form the core of any effort to write very fast, down-to-the-metal hot path code on the JVM, and they pointed out that there really isn't a particularly good place to go for this information. It occurred to me that, really, I had more or less picked up all of it by word of mouth and experience, and there just aren't any good reference sources on the topic. So… here's my word of mouth.

This is by no means a comprehensive gist. It's also important to understand that the techniques that I outline in here are not 100% absolute either. Performance on the JVM is an incredibly complicated subject, and while there are rules that almost always hold true, the "almost" remains very salient. Also, for many or even most applications, there will be other techniques that I'm not mentioning which will have a greater impact. JMH, Java Flight Recorder, and a good profiler are your very best friend! Mea

joshbuchea

Semantic Commit Messages

See how a minor change to your commit message style can make you a better programmer.

Format: <type>(<scope>): <subject>

<scope> is optional

Example

threepointone

(also know as lies and/or alternative facts)

js

• setImmediate - doesn't set anything immediately, waits for a tick before executing
• setTimeout(fn, n) - never sets the timeout to exactly n
• Math.random() - computers cannot generate random numbers
• Promise - is a lie when rejected
• Array.reduce - accumulates, does not reduce (via @sbmadhav)

rondy

FWIW: I (@rondy) am not the creator of the content shared here, which is an excerpt from Edmond Lau's book. I simply copied and pasted it from another location and saved it as a personal note, before it gained popularity on news.ycombinator.com. Unfortunately, I cannot recall the exact origin of the original source, nor was I able to find the author's name, so I am can't provide the appropriate credits.

---

Effective Engineer - Notes

• By Edmond Lau
• Highly Recommended 👍
• http://www.theeffectiveengineer.com/

What's an Effective Engineer?

roadmapper

#!/usr/bin/python

import os
import sys
import json
import requests
import time
import urllib

cities = []

garybernhardt

This document has moved!

It's now here, in The Programmer's Compendium. The content is the same as before, but being part of the compendium means that it's actively maintained.

leonardofed

A curated list of AWS resources to prepare for the AWS Certifications

A curated list of awesome AWS resources you need to prepare for the all 5 AWS Certifications. This gist will include: open source repos, blogs & blogposts, ebooks, PDF, whitepapers, video courses, free lecture, slides, sample test and many other resources.

---

jkleint

#!/usr/bin/env python
"""
Example of using Keras to implement a 1D convolutional neural network (CNN) for timeseries prediction.
"""

from __future__ import print_function, division

import numpy as np
from keras.layers import Convolution1D, Dense, MaxPooling1D, Flatten
from keras.models import Sequential

jrk

DSL course references

Disclaimer: the boundaries of what really qualifies as "domain-specific" as opposed to "somewhat specialized or different" isn't always crisp, so I'm casting a slightly wide net.

Courses

http://cs448h.stanford.edu

Meta

• Terra - a language for making high-performance DSLs - staged programming/macro-based embedding - Lua + macros + LLVM
• Scala LMS - type-based embedding - types!!!