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@kylemcdonald
kylemcdonald / function-calling.ipynb
Created June 14, 2023 01:10
Example of OpenAI function calling API to extract data from LAPD newsroom articles.
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How to GPG as a Scala OSS Maintainer

tl;dr Generate a GPG key pair (exercising appropriate paranoia). Send it to key servers. Create a Keybase account with the public part of that key. Use your keypair to sign git tags and SBT artifacts.

GPG is probably one of the least understood day-to-day pieces of software in the modern developer's toolshed. It's certainly the least understood of the important pieces of software (literally no one cares that you can't remember grep's regex variant), and this is a testament to the mightily terrible user interface it exposes to its otherwise extremely simple functionality. It's almost like cryptographers think that part of the security comes from the fact that bad guys can't figure it out any more than the good guys can.

Anyway, GPG is important for open source in particular because of one specific feature of public/private key cryptography: signing. Any published software should be signed by the developer (or company) who published it. Ideally, consu

@rowanmanning
rowanmanning / README.md
Last active April 17, 2025 05:46
Writing a Friendly README. This a companion-gist to the post: http://rowanmanning.com/posts/writing-a-friendly-readme/
@vasanthk
vasanthk / System Design.md
Last active April 17, 2025 08:06
System Design Cheatsheet

System Design Cheatsheet

Picking the right architecture = Picking the right battles + Managing trade-offs

Basic Steps

  1. Clarify and agree on the scope of the system
  • User cases (description of sequences of events that, taken together, lead to a system doing something useful)
    • Who is going to use it?
    • How are they going to use it?
@Mistobaan
Mistobaan / tensorflow_cuda_osx.md
Last active July 25, 2023 18:54
How to enable cuda support for tensor flow on Mac OS X (Updated on April:2016 Tensorflow 0.8)

These instructions will explain how to install tensorflow on mac with cuda enabled GPU suport. I assume you know what tensorflow is and why you would want to have a deep learning framework running on your computer.

Prerequisites

Make sure to update your homebrew formulas

brew update
@chinshr
chinshr / Jenkinsfile
Last active February 9, 2025 02:39
Best of Jenkinsfile, a collection of useful workflow scripts ready to be copied into your Jenkinsfile on a per use basis.
#!groovy
# Best of Jenkinsfile
# `Jenkinsfile` is a groovy script DSL for defining CI/CD workflows for Jenkins
node {
}
@scova0731
scova0731 / scala-learning-resource.md
Created February 27, 2015 04:02
Scala 学習リソース (2015/2版)

定番、および比較的最近の学習リソースを集めてみました (2015/2)。

リファレンス

記事等

@johnynek
johnynek / AliceInAggregatorLand.scala
Last active January 24, 2024 19:38
A REPL Example of using Aggregators in scala
/**
* To get started:
* git clone https://github.com/twitter/algebird
* cd algebird
* ./sbt algebird-core/console
*/
/**
* Let's get some data. Here is Alice in Wonderland, line by line
*/
@epishkin
epishkin / SaveCountersToHdfs.scala
Last active December 4, 2017 13:39
write all counters of a scalding job to hdfs
import java.io.PrintWriter
import cascading.stats.CascadingStats
import com.twitter.scalding._
/**
* Writes all custom counters into a tsv file args("counters-file") if this property is set.
*
* Output format:
* counter_name value
@azymnis
azymnis / KMeansJob.scala
Created October 23, 2014 23:07
K-Means in scalding
import com.twitter.algebird.{Aggregator, Semigroup}
import com.twitter.scalding._
import scala.util.Random
/**
* This job is a tutorial of sorts for scalding's Execution[T] abstraction.
* It is a simple implementation of Lloyd's algorithm for k-means on 2D data.
*
* http://en.wikipedia.org/wiki/K-means_clustering