A "Best of the Best Practices" (BOBP) guide to developing in Python.
- "Build tools for others that you want to be built for you." - Kenneth Reitz
- "Simplicity is alway better than functionality." - Pieter Hintjens
Latency Comparison Numbers (~2012) | |
---------------------------------- | |
L1 cache reference 0.5 ns | |
Branch mispredict 5 ns | |
L2 cache reference 7 ns 14x L1 cache | |
Mutex lock/unlock 25 ns | |
Main memory reference 100 ns 20x L2 cache, 200x L1 cache | |
Compress 1K bytes with Zippy 3,000 ns 3 us | |
Send 1K bytes over 1 Gbps network 10,000 ns 10 us | |
Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD |
package main | |
import ( | |
"context" | |
"flag" | |
"fmt" | |
"log" | |
"net/http" | |
"os" | |
"os/signal" |
Attention: the list was moved to
https://github.com/dypsilon/frontend-dev-bookmarks
This page is not maintained anymore, please update your bookmarks.
<!DOCTYPE html> | |
<html> | |
<head> | |
<meta charset="utf-8"> | |
<title>Building a router</title> | |
<script> | |
// Put John's template engine code here... | |
(function () { | |
// A hash to store our routes: |
# Getting a random free tcp port in python using sockets | |
def get_free_tcp_port(): | |
tcp = socket.socket(socket.AF_INET, socket.SOCK_STREAM) | |
tcp.bind(('', 0)) | |
addr, port = tcp.getsockname() | |
tcp.close() | |
return port | |
Concurrency is a domain I have wanted to explore for a long time because the locks and the race conditions have always intimidated me. I recall somebody suggesting concurrency patterns in golang because they said "you share the data and not the variables".
Amused by that, I searched for "concurrency in golang" and bumped into this awesome slide by Rob Pike: https://talks.golang.org/2012/waza.slide#1 which does a great job of explaining channels, concurrency patterns and a mini-architecture of load-balancer (also explains the above one-liner).
Let's dig in:
Data Down / Actions Up
Plain JSBin's
Ember Version Base JSBin's