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@jdnichollsc
jdnichollsc / ABC.md
Last active December 7, 2024 17:45
The Job Interview Guide

The Job Interview Guide 💼

And English is a Work in Progress ⌛

@augbog
augbog / .Frontend Technical Interview Prep.md
Last active July 7, 2025 10:11
Frontend Technical Interview Prep: A study guide of things I constantly re-review when interviewing for frontend.

Frontend Technical Interview Prep

EDIT: Well this has been linked now so just an FYI this is still TBD. Feel free to comment if you have suggestions for improvements. Also here is an unrolled Twitter thread of a lot of the tips I talk about on here.

I've been doing frontend for a while now and one thing that really gripes me is the interview. I think the breadth of knowledge of a "Frontend Engineer" has been so poorly defined that people really just expected you to know everything. Many companies have made this a hybrid role. The Web is massive and there are many MANY things to know. Some of these things are just facts that you learn and others are things you really have to understand.

Every time I interview, I go over the same stuff. I wanted to create a gist of the TL;DR things that would jog my memory and hopefully yours too.

Lots of these things are real things I've been asked that caught me off guard. It's nice to have something you ca

@pmkay
pmkay / top-brew-packages.txt
Last active July 4, 2025 14:19 — forked from r5v9/top-brew-packages.txt
Top homebrew packages
node: Platform built on V8 to build network applications
git: Distributed revision control system
wget: Internet file retriever
yarn: JavaScript package manager
python3: Interpreted, interactive, object-oriented programming language
coreutils: GNU File, Shell, and Text utilities
pkg-config: Manage compile and link flags for libraries
chromedriver: Tool for automated testing of webapps across many browsers
awscli: Official Amazon AWS command-line interface
automake: Tool for generating GNU Standards-compliant Makefiles
@bsletten
bsletten / ml-recs.md
Last active December 4, 2024 15:32
Machine Learning Path Recommendations

This is an incomplete, ever-changing curated list of content to assist people into the worlds of Data Science and Machine Learning. If you have a recommendation for something to add, please let me know. If something isn't here, it doesn't mean I don't recommend it, I just may not have had a chance to review it yet or not.

I will generally list things in order of easier to more formal/challenging content.

It may feel like there is an overwhelming amount of stuff for you to learn (because there is). But, there is a guided path that will get you there in time. You need to focus on Linear Algebra, Calculus, Statistics and probably Python (or R). Your best bet is to get a Safari Books Online account (https://www.safaribooksonline.com) which you may already have access to through school or work. If not, it is a reasonable way to get access to a tremendous number of books and videos.

I'm not saying you will get what you need out of everything here, but I have read/watched at least some of all of the following an

@r5v9
r5v9 / top-brew-packages.txt
Created September 4, 2017 23:09
Top homebrew packages
node: Platform built on V8 to build network applications
git: Distributed revision control system
wget: Internet file retriever
yarn: JavaScript package manager
python3: Interpreted, interactive, object-oriented programming language
python: Interpreted, interactive, object-oriented programming language
mysql: Open source relational database management system
coreutils: GNU File, Shell, and Text utilities
openssl: SSL/TLS cryptography library
postgresql: Object-relational database system
@ljharb
ljharb / array_iteration_thoughts.md
Last active April 15, 2025 03:33
Array iteration methods summarized

Array Iteration

https://gist.github.com/ljharb/58faf1cfcb4e6808f74aae4ef7944cff

While attempting to explain JavaScript's reduce method on arrays, conceptually, I came up with the following - hopefully it's helpful; happy to tweak it if anyone has suggestions.

Intro

JavaScript Arrays have lots of built in methods on their prototype. Some of them mutate - ie, they change the underlying array in-place. Luckily, most of them do not - they instead return an entirely distinct array. Since arrays are conceptually a contiguous list of items, it helps code clarity and maintainability a lot to be able to operate on them in a "functional" way. (I'll also insist on referring to an array as a "list" - although in some languages, List is a native data type, in JS and this post, I'm referring to the concept. Everywhere I use the word "list" you can assume I'm talking about a JS Array) This means, to perform a single operation on the list as a whole ("atomically"), and to return a new list - thus making it mu

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

What's an Effective Engineer?

@wojteklu
wojteklu / clean_code.md
Last active July 17, 2025 08:20
Summary of 'Clean code' by Robert C. Martin

Code is clean if it can be understood easily – by everyone on the team. Clean code can be read and enhanced by a developer other than its original author. With understandability comes readability, changeability, extensibility and maintainability.


General rules

  1. Follow standard conventions.
  2. Keep it simple stupid. Simpler is always better. Reduce complexity as much as possible.
  3. Boy scout rule. Leave the campground cleaner than you found it.
  4. Always find root cause. Always look for the root cause of a problem.

Design rules

@leonardofed
leonardofed / README.md
Last active July 10, 2025 04:43
A curated list of AWS resources to prepare for the AWS Certifications


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.