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View Effective_Engineer.md

FWIW: I didn't produce the content presented here (the outline from Edmond Lau's book). I've just copy-pasted it from somewhere over the Internet, but I cannot remember what exactly the original source is. I was also not able to find the author's name, so I cannot give him/her the proper credits.


Effective Engineer - Notes

What's an Effective Engineer?

@CMCDragonkai
CMCDragonkai / http_streaming.md
Last active Dec 14, 2019
HTTP Streaming (or Chunked vs Store & Forward)
View http_streaming.md

HTTP Streaming (or Chunked vs Store & Forward)

The standard way of understanding the HTTP protocol is via the request reply pattern. Each HTTP transaction consists of a finitely bounded HTTP request and a finitely bounded HTTP response.

However it's also possible for both parts of an HTTP 1.1 transaction to stream their possibly infinitely bounded data. The advantages is that the sender can send data that is beyond the sender's memory limit, and the receiver can act on

@gaearon
gaearon / modern_js.md
Last active Dec 14, 2019
Modern JavaScript in React Documentation
View modern_js.md

If you haven’t worked with JavaScript in the last few years, these three points should give you enough knowledge to feel comfortable reading the React documentation:

  • We define variables with let and const statements. For the purposes of the React documentation, you can consider them equivalent to var.
  • We use the class keyword to define JavaScript classes. There are two things worth remembering about them. Firstly, unlike with objects, you don't need to put commas between class method definitions. Secondly, unlike many other languages with classes, in JavaScript the value of this in a method [depends on how it is called](https://developer.mozilla.org/en-US/docs/Web/Jav
@patik
patik / how-to-squash-commits-in-git.md
Last active Dec 11, 2019
How to squash commits in git
View how-to-squash-commits-in-git.md

Squashing Git Commits

The easy and flexible way

This method avoids merge conflicts if you have periodically pulled master into your branch. It also gives you the opportunity to squash into more than 1 commit, or to re-arrange your code into completely different commits (e.g. if you ended up working on three different features but the commits were not consecutive).

Note: You cannot use this method if you intend to open a pull request to merge your feature branch. This method requires committing directly to master.

Switch to the master branch and make sure you are up to date:

@fchollet
fchollet / classifier_from_little_data_script_3.py
Last active Dec 9, 2019
Fine-tuning a Keras model. Updated to the Keras 2.0 API.
View classifier_from_little_data_script_3.py
'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats
View 0-rate-limiters.md

Scaling your API with rate limiters

The following are examples of the four types rate limiters discussed in the accompanying blog post. In the examples below I've used pseudocode-like Ruby, so if you're unfamiliar with Ruby you should be able to easily translate this approach to other languages. Complete examples in Ruby are also provided later in this gist.

In most cases you'll want all these examples to be classes, but I've used simple functions here to keep the code samples brief.

Request rate limiter

This uses a basic token bucket algorithm and relies on the fact that Redis scripts execute atomically. No other operations can run between fetching the count and writing the new count.

@gene1wood
gene1wood / 01_get_account_id_for_user_ec2instance_role_or_lambda.py
Last active Nov 18, 2019
Method to determine your AWS account ID using boto3 for either a user or an ec2 instance or lambda function
View 01_get_account_id_for_user_ec2instance_role_or_lambda.py
import boto3
print(boto3.client('sts').get_caller_identity()['Account'])
@clayton
clayton / ffmpeg-install.sh
Created Aug 9, 2013
Install FFMPEG on OS X with HomeBrew to convert Mp4 to WebM
View ffmpeg-install.sh
# Installation
brew install ffmpeg --with-vpx --with-vorbis --with-libvorbis --with-vpx --with-vorbis --with-theora --with-libogg --with-libvorbis --with-gpl --with-version3 --with-nonfree --with-postproc --with-libaacplus --with-libass --with-libcelt --with-libfaac --with-libfdk-aac --with-libfreetype --with-libmp3lame --with-libopencore-amrnb --with-libopencore-amrwb --with-libopenjpeg --with-openssl --with-libopus --with-libschroedinger --with-libspeex --with-libtheora --with-libvo-aacenc --with-libvorbis --with-libvpx --with-libx264 --with-libxvid
# Easy Peasy
ffmpeg -i video.mp4 video.webm
@blairanderson
blairanderson / DependencyInjectionInRuby.md
Last active Sep 5, 2019
Dependency Injection in Ruby. Originally from Jim Weirich’s blog which does not exist except for googles cache.
View DependencyInjectionInRuby.md

Dependency Injection in Ruby 07 Oct 04

Introduction

At the 2004 Ruby Conference, Jamis Buck had the unenviable task to explain Dependency Injection to a bunch of Ruby developers. First of all, Dependency Injection (DI) and Inversion of Control (IoC) is hard to explain, the benefits are subtle and the dynamic nature of Ruby make those benefits even more marginal. Furthermore examples using DI/IoC are either too simple (and don’t convey the usefulness) or too complex (and difficult to explain in the space of an article or presentation). I once attempted to explain DI/IoC to a room of Java programmers (see onestepback.org/articles/dependencyinjection/), so I can’t pass up trying to explain it to Ruby developers.

Thanks goes to Jamis Buck (the author of the Copland DI/IoC framework) who took the time to review this article and provide feedback.

What is Dependency Injection?

@juanplopes
juanplopes / dfa.py
Last active Aug 13, 2019
simple dfa in python
View dfa.py
class Automaton:
def __init__(self, nstates):
self.transitions = [{} for i in range(nstates)]
self.accept_states = [False] * nstates
def register(self, source_state, char, target_state):
self.transitions[source_state][char] = target_state
def register_accept(self, state):
self.accept_states[state] = True
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