munificent

#include <time.h> //  Robert Nystrom
#include <stdio.h> // @munificentbob
#include <stdlib.h> //     for Ginny
#define  r return    //    2008-2019
#define  l(a, b, c, d) for (i y=a;y\
<b; y++) for (int x = c; x < d; x++)
typedef int i;const i H=40;const i W
=80;i m[40][80];i g(i x){r rand()%x;
}void cave(i s){i w=g(10)+5;i h=g(6)
+3;i t=g(W-w-2)+1;i u=g(H-h-2)+1;l(u

halfelf

https://web.archive.org/web/20110219163448/http://howtohft.wordpress.com/2011/02/15/how-to-build-a-fast-limit-order-book/

The response to my first few posts has been much larger than I’d imagined and I’d like to thank everyone for the encouragement.

If you’re interested in building a trading system I recommend first reading my previous post on general ideas to keep in mind.

My first really technical post will be on how to build a limit order book, probably the single most important component of a trading system. Because the data structure chosen to represent the limit order book will be the primary source of market information for trading models, it is important to make it both absolutely correct and extremely fast.

To give some idea of the data volumes, the Nasdaq TotalView ITCH feed, which is every event in every instrument traded on the Nasdaq, can have data rates of 20+ gigabytes/day with spikes of 3 megabytes/second or more. The individual messages average about 20 bytes each so this means handling

CJEnright

package main

import (
        "net/http"
        "compress/gzip"
        "io/ioutil"
        "strings"
        "sync"
        "io"
)

nevzatalkan

package main

import (
	"encoding/json"
	"fmt"
)

func main() {

	b := []byte(`{"key":"value"}`)

kizzx2

version: '3'
services:
  app:
    image: nginx:alpine
    ports: ["80:80"]
    restart: unless-stopped

  restarter:
    image: docker:cli
    volumes: ["/var/run/docker.sock:/var/run/docker.sock"]

tylerneylon

# -*- coding: utf-8 -*-
""" rwlock.py

    A class to implement read-write locks on top of the standard threading
    library.

    This is implemented with two mutexes (threading.Lock instances) as per this
    wikipedia pseudocode:

    https://en.wikipedia.org/wiki/Readers%E2%80%93writer_lock#Using_two_mutexes

hvgab

# prettyprint json i jinja
def ppjson(value, indent=2):
	return json.dumps(value, indent=indent)

jinja2.filters.FILTERS['ppjson'] = ppjson

bhmj

Задание (Golang + PostgreSQL)

Написать сервис, который будет слушать входящие запросы по HTTP, преобразовывать их в запрос к соответствующей функции Postgres, выполнять запрос и возвращать ответ клиенту.

Дописать функции Postgres для сервиса.

/Скиллы: Golang, Postgres, regexp, строки, работа с json в Golang и Postgres/

1. Web-сервис

romanvm

# coding: utf-8
#
# Copyright (c) 2017 Roman Miroshnychenko <[email protected]>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:

mariocesar

import requests

api_url = 'https://api.telegram.org/bot{token}/{method}'.format

TELEGRAM_ACCESS_TOKEN = os.environ.get('TELEGRAM_ACCESS_TOKEN', None)


def telegram_command(name, data):
    url = api_url(token=TELEGRAM_ACCESS_TOKEN, method=name)
    return requests.post(url=url, json=data)