gurgeous

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rouxcaesar

My Thoughts on Bradfield

I've been asked by several people over time about my experience with the classes offered by Bradfield, and thought that I should save some future keystrokes by writing up a short gist for future reference. Hopefully this gist will be useful for others who are considering Bradfield and wondering it is worth it. My intended audience is primarily Launch School students who have completed the Core program and likely also Capstone, but the majority of this gist will be applicable to anyone who is a working/experienced software engineer.

Since late 2019, I've taken 4 short courses from the Bradfield School of Computer Science and in 2021 I enrolled in their Computer Science Intensive (CSI) program¹. Overall, I've found the courses and CSI to be an excellent opportunity to grown my technical skills and broaden my knowledge of CS topics.

The courses I completed were:

• Computer Architecture: The Hardware/Software Interface

prologic

Learn Go in ~5mins

This is inspired by A half-hour to learn Rust and Zig in 30 minutes.

Basics

Your first Go program as a classical "Hello World" is pretty simple:

First we create a workspace for our project:

lg

Adding tailscale to an EdgeRouter (and surviving system upgrades)

I suggest you run sudo bash on all of these so you're the root user.

Installing

1. Download tailscale and put the files in /config/. Find the latest stable or unstable version for your EdgeRouter's processor (ex. ER4 is mips and ERX is mipself)

sudo bash    # if you havent already

jsgoller1

How to slay programming interviews

This gist is currently under re-development after my most recent round of interview prep and will be re-posted with major edits soon.

jvns

const fetch = require('node-fetch');
async function run() {
    let username = "YOUR USERNAME HERE";
    let password = "YOUR APP PASSWORD";
    let authBasic = new Buffer(username + ':' + password).toString('base64');
    let session = await (await fetch('https://jmap.fastmail.com/.well-known/jmap', {
        headers: {
            "Authorization": "Basic " + authBasic
        }
    })).json();

maxkostinevich

/*
 * Serverless Geolocation Service, hosted on Cloudflare Workers.
 *
 * Learn more at https://maxkostinevich.com/blog/serverless-geolocation
 *
 * (c) Max Kostinevich / https://maxkostinevich.com
 */


// https://gist.github.com/maephisto/9228207

tamuhey

How to calculate the alignment between BERT and spaCy tokens effectively and robustly

site: https://tamuhey.github.io/tokenizations/

Natural Language Processing (NLP) has made great progress in recent years because of neural networks, which allows us to solve various tasks with end-to-end architecture. However, many NLP systems still require language-specific pre- and post-processing, especially in tokenizations. In this article, I describe an algorithm that simplifies calculating correspondence between tokens (e.g. BERT vs. spaCy), one such process. And I introduce Python and Rust libraries that implement this algorithm. Here are the library and the demo site links:

• repo: https://github.com/tamuhey/tokenizations

Cyb3rWard0g

Infosec Jupyterthon

Infosec Jupyterthon

Agenda

Welcome

Recording Notebook Roberto Rodriguez @Cyb3rWard0g, Threat Researcher, Microsoft MSTIC

What About Jupyter Notebooks? Binder

Recording Notebook

kentcdodds

{
  "name": "workshop-setup",
  "version": "1.0.0",
  "description": "This is the common setup script for most of my workshops",
  "bin": "./setup.js"
}