sindresorhus

Pure ESM package

The package that linked you here is now pure ESM. It cannot be require()'d from CommonJS.

This means you have the following choices:

1. Use ESM yourself. (preferred)
   Use import foo from 'foo' instead of const foo = require('foo') to import the package. You also need to put "type": "module" in your package.json and more. Follow the below guide.
2. If the package is used in an async context, you could use await import(…) from CommonJS instead of require(…).
3. Stay on the existing version of the package until you can move to ESM.

Tamal

$ git clone [email protected]:xxxxx/xxxx.git my-awesome-proj
Cloning into 'my-awesome-proj'...
ssh: connect to host github.com port 22: Connection timed out
fatal: Could not read from remote repository.

$ # This should also timeout
$ ssh -T [email protected]
ssh: connect to host github.com port 22: Connection timed out

$ # but this might work

inexorabletash

This demonstrates the implementation of full text search for documents in Indexed DB.

• Word-breaking and stemming is used to create a list of terms for each document.
• Document records are annotated with the list of terms when added to the database.
• A multi-entry index on the list of terms is populated.
• A query is similarly processed into a list of terms.
• A join over the terms is implemented using multiple cursors on the index.

The necessity of annotating records with the word list to populate the index is a limitation of the current Indexed DB API. A feature request to support custom

jtilly

#!/bin/bash

# this script installs GCC 4.9.3 
# to use it navigate to your home directory and type:
# sh install-gcc-4.9.3.sh

# download and install gcc 4.9.3
wget https://ftp.gnu.org/gnu/gcc/gcc-4.9.3/gcc-4.9.3.tar.gz
tar xzf gcc-4.9.3.tar.gz
cd gcc-4.9.3

garystafford

###############################################################################
# Helpful Docker commands and code snippets
###############################################################################

### CONTAINERS ###
docker stop $(docker ps -a -q) #stop ALL containers
docker rm -f $(docker ps -a -q) # remove ALL containers
docker rm -f $(sudo docker ps --before="container_id_here" -q) # can also filter

# exec into container

jsturgis

var mediaJSON = { "categories" : [ { "name" : "Movies",
        "videos" : [ 
		    { "description" : "Big Buck Bunny tells the story of a giant rabbit with a heart bigger than himself. When one sunny day three rodents rudely harass him, something snaps... and the rabbit ain't no bunny anymore! In the typical cartoon tradition he prepares the nasty rodents a comical revenge.\n\nLicensed under the Creative Commons Attribution license\nhttp://www.bigbuckbunny.org",
              "sources" : [ "http://commondatastorage.googleapis.com/gtv-videos-bucket/sample/BigBuckBunny.mp4" ],
              "subtitle" : "By Blender Foundation",
              "thumb" : "images/BigBuckBunny.jpg",
              "title" : "Big Buck Bunny"
            },
            { "description" : "The first Blender Open Movie from 2006",
              "sources" : [ "http://commondatastorage.googleapis.com/gtv-videos-bucket/sample/ElephantsDream.mp4" ],

0x8badf00d

1) Algorithm Complexity - Big-O
2) Sorting - Merge, Insert, Bubble
3) Hashtables - Implement using Arrays
4) Trees - Binary, n-ary, trie-trees; balanced binary tree - Red/Black tree, splay tree, AVL tree
	Tree traversal algorithm - BFS, DFS ; difference between inorder, postorder, preorder
5) Graphs - Representation of graphs using: objects and pointers, matrix, adjacency list
	Graph traversal algorithm - BFS, DFS
	A* and Dijkstra
6) Data Structures - NP-complete problems: traveling salesman and knapsack problem
7) Discrete Mathematics - combinatorics and probability

gmanau

upstream upstream-apache2 {
        server  127.0.0.1:8080;
}

upstream upstream-nodejs {
        server  127.0.0.1:3000;
}

server {
        listen                  80;

denji

Moved to git repository: https://github.com/denji/nginx-tuning

NGINX Tuning For Best Performance

For this configuration you can use web server you like, i decided, because i work mostly with it to use nginx.

Generally, properly configured nginx can handle up to 400K to 500K requests per second (clustered), most what i saw is 50K to 80K (non-clustered) requests per second and 30% CPU load, course, this was 2 x Intel Xeon with HyperThreading enabled, but it can work without problem on slower machines.

You must understand that this config is used in testing environment and not in production so you will need to find a way to implement most of those features best possible for your servers.

plentz

# to generate your dhparam.pem file, run in the terminal
openssl dhparam -out /etc/nginx/ssl/dhparam.pem 2048