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EHOSTUNREACH

Mridul Singhai singhai0

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EHOSTUNREACH
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@fchollet
fchollet / classifier_from_little_data_script_3.py
Last active July 23, 2024 16:32
Fine-tuning a Keras model. Updated to the Keras 2.0 API.
'''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
@clayton
clayton / ffmpeg-install.sh
Created August 9, 2013 18:55
Install FFMPEG on OS X with HomeBrew to convert Mp4 to WebM
# 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
@steve-kertes
steve-kertes / get_books_on_shelf.py
Last active August 21, 2024 17:57 — forked from gpiancastelli/goodreads-oauth-example.py
A Python example of how to use OAuth on GoodReads. Includes scripts to pull list of books that are on a shelf and to add all owned books to a shelf.
from string import Template
import oauth2 as oauth
import urlparse
import urllib
import time
import xml.dom.minidom
import sys, getopt
# If you get 'Title Messed Up By Unicode Error' messages try
# export PYTHONIOENCODING=utf-8
@gaearon
gaearon / modern_js.md
Last active August 22, 2024 22:11
Modern JavaScript in React Documentation

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
@rogerallen
rogerallen / us_state_abbrev.py
Last active September 5, 2024 15:59
A Python Dictionary to translate US States to Two letter codes
# United States of America Python Dictionary to translate States,
# Districts & Territories to Two-Letter codes and vice versa.
#
# Canonical URL: https://gist.github.com/rogerallen/1583593
#
# Dedicated to the public domain. To the extent possible under law,
# Roger Allen has waived all copyright and related or neighboring
# rights to this code. Data originally from Wikipedia at the url:
# https://en.wikipedia.org/wiki/ISO_3166-2:US
#
@CMCDragonkai
CMCDragonkai / http_streaming.md
Last active September 9, 2024 10:19
HTTP Streaming (or Chunked vs Store & Forward)

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

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.

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?