Steven Cook eldritchideen

Sample Project

Starting from:

lein new foo
cd foo

Say I have a random JAR file that is not available in any repository:

touch README.md

If you are seeing Mongo soft rlimits warnings in your logs, or a WARNING: soft rlimits too low. Number of files is 256, should be at least 1000 when you login to mongo shell via mongo from the commandline, or any mysterious/unexplained mongo connection errors... follow this how-to exactly and it will resolve the issue for you.

(Source of this how to found at basho/basho_docs#1402)

First file: sudo vi /Library/LaunchDaemons/limit.maxfiles.plist

...containing:

Golang Job Queue

A running example of the code from:

Step 1

Small refactorings made to original code:

	import dxfgrabber

	dxf = dxfgrabber.readfile('surface0.dxf')
	all_surface_entities = [entity for entity in dxf.entities if entity.layer == '0']
	all_progress_line_entities = [entity for entity in dxf.entities if entity.layer == 'Progress Line']

	f = open('surface_points.csv', 'w')

	# List of Point objects
	for p in all_surface_entities:

	(ns scratch.core
	(:require [clojure.core.async :as async :refer [go-loop <! chan <!! >! >!!]])
	(:gen-class))

	(defn make-actor
	"Creates actor of specific name" [name]
	(let [in (chan 10)]
	(go-loop [[msg-type sender msg-body :as data] (<! in)]
	(when data
	(println (str "Actor " name " got message " msg-type

	(defn average [coll]
	(/ (reduce + coll)
	(count coll)))

	(defn ma [period coll]
	(lazy-cat (repeat (dec period) nil)
	(map average (partition period 1 coll))))

	from zipline.algorithm import TradingAlgorithm
	from zipline.transforms import MovingAverage
	from zipline.utils.factory import load_from_yahoo
	from zipline.finance.slippage import FixedSlippage
	from zipline.finance.commission import PerShare
	from datetime import datetime
	import matplotlib.pyplot as plt

	class DualMovingAverage(TradingAlgorithm):

	defmodule Stocks do

	def get_new_highs do
	HTTPoison.start
	resp = HTTPoison.get!("http://www.smh.com.au/business/markets/52-week-highs?page=-1",[], [proxy: "http://proxy.cat.com:80"])
	data = Floki.find(resp.body, "#content section table tbody tr th a")
	Enum.map(data, fn({_,_,[code]}) -> code end)
	end

	end

	function Vector(x,y) {
	this.x = x
	this.y = y
	}
	Vector.prototype.plus = function(other) {
	return new Vector(this.x + other.x, this.y + other.y)
	};
	Vector.prototype.minus = function(other) {
	return new Vector(this.x - other.x, this.y - other.y)
	};

	const request = require('request'),
	cheerio = require('cheerio'),
	fs = require('fs');

	request('http://www.marketindex.com.au/all-ordinaries', function (error, response, body) {
	if (!error && response.statusCode === 200) {
	let stocks = [];
	let $ = cheerio.load(body);
	$('#asx_sp_table > tbody > tr > td:nth-child(2)').each((i,elem) => {
	stocks[i] = elem.children[0].data;