Nate George nateGeorge

## .block
license: gpl-3.0

## ESP8266-smtp.ino
#define SSID "wi-fi_login" // ваш SSID
#define PASS "wi-fi_password" // ваш пароль Wi-Fi

#define SMTPServer "s02.atomsmtp.com" //smtp сервер
#define SMTPPort "2525" // smtp порт
#define MailLogin "smtp_example@gmail.com" // логин для smtp
#define MailLoginBase64 "dWd1LCBrb25lNG5vCg==" //логин для smtp в Base64
#define MailPasswordBase64 "aHJlbiB0YW0K" // пароль для smtp в Base64
#define MailRelay "example@mail.ru" // промежуточная почта для "отмывания" email
#define PhoneNumber "375290000000" // номер телефона

## bellman_ford.py
from collections import namedtuple


# A reasonable large number to represent infinity.
INF = (1 << 31)
UNIT_LENGTH = 6
# Struct for edges.
Edge = namedtuple('Edge', ['src', 'dest'])

def calculate_shortest_distances(node_num, edges, src):

## epic.py
import argparse
import datetime
import json
import os
import re

import requests


parser = argparse.ArgumentParser()

## init.lua
--http://www.instructables.com/id/ESP8266-based-web-configurable-wifi-general-purpos-1/
--Code by HoracioBouzas, formatted for use with ESPlorer by jimoconnell
print("WIFI control");
-- put module in AP mode
wifi.setmode(wifi.SOFTAP);
print("ESP8266 mode is: " .. wifi.getmode());
cfg={};
-- Set the SSID of the module in AP mode and access password
cfg.ssid="ESP8266";
cfg.pwd="passwordpassword";

## grid_search.py
"""Parallel grid search for sklearn's GradientBoosting.

This script uses IPython.parallel to run cross-validated
grid search on an IPython cluster. Each cell on the parameter grid
will be evaluated ``K`` times - results are stored in MongoDB.

The procedure tunes the number of trees ``n_estimators`` by averaging
the staged scores of the GBRT model averaged over all K folds.

You need an IPython ipcluster to connect to - for local use simply

## savekeras.py
'''
hacked out deepdish.io style keras NN saving functionality

[credit] deepdish
'''
from __future__ import division, print_function, absolute_import

import numpy as np
import tables
import warnings

## meteor_servercall.html
<head>
  <title>meteor_servercall</title>
</head>

<body>
  {{> simple}}
  {{> passData}}
</body>

<template name="simple">

## worldclass-save-discussions.js
const puppeteer = require('puppeteer');
const read = require('read');
const htmlToText = require('html-to-text').fromString;
const R = require('ramda');
const Promise = require('bluebird');
const fs = require('fs');
const download = require('@jinphen/download2');
const { CookieJar } = require('tough-cookie');

const mapSeries = R.flip(Promise.mapSeries);

## ...README.md

      
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                abalter
                / ...README.md
            
            
              Created
              January 8, 2019 21:56
            
              
                A function to enable using conda seamlessly with R
              
          
Install EVERYTHING you can with conda
Install things you can with:

install.packages(, lib="")
install.github(, lib="")
biocLite(, lib="")


Make separate local libs for different R versions
After installing a package to a local lib, look there and see
if there are dependencies you could have installed with conda.
Or, head it off by looking at the dependencies in CRAN or Bioconductor
	#define SSID "wi-fi_login" // ваш SSID
	#define PASS "wi-fi_password" // ваш пароль Wi-Fi

	#define SMTPServer "s02.atomsmtp.com" //smtp сервер
	#define SMTPPort "2525" // smtp порт
	#define MailLogin "smtp_example@gmail.com" // логин для smtp
	#define MailLoginBase64 "dWd1LCBrb25lNG5vCg==" //логин для smtp в Base64
	#define MailPasswordBase64 "aHJlbiB0YW0K" // пароль для smtp в Base64
	#define MailRelay "example@mail.ru" // промежуточная почта для "отмывания" email
	#define PhoneNumber "375290000000" // номер телефона
	from collections import namedtuple


	# A reasonable large number to represent infinity.
	INF = (1 << 31)
	UNIT_LENGTH = 6
	# Struct for edges.
	Edge = namedtuple('Edge', ['src', 'dest'])

	def calculate_shortest_distances(node_num, edges, src):
	import argparse
	import datetime
	import json
	import os
	import re

	import requests


	parser = argparse.ArgumentParser()
	--http://www.instructables.com/id/ESP8266-based-web-configurable-wifi-general-purpos-1/
	--Code by HoracioBouzas, formatted for use with ESPlorer by jimoconnell
	print("WIFI control");
	-- put module in AP mode
	wifi.setmode(wifi.SOFTAP);
	print("ESP8266 mode is: " .. wifi.getmode());
	cfg={};
	-- Set the SSID of the module in AP mode and access password
	cfg.ssid="ESP8266";
	cfg.pwd="passwordpassword";
	"""Parallel grid search for sklearn's GradientBoosting.

	This script uses IPython.parallel to run cross-validated
	grid search on an IPython cluster. Each cell on the parameter grid
	will be evaluated ``K`` times - results are stored in MongoDB.

	The procedure tunes the number of trees ``n_estimators`` by averaging
	the staged scores of the GBRT model averaged over all K folds.

	You need an IPython ipcluster to connect to - for local use simply
	'''
	hacked out deepdish.io style keras NN saving functionality

	[credit] deepdish
	'''
	from __future__ import division, print_function, absolute_import

	import numpy as np
	import tables
	import warnings
	<head>
	<title>meteor_servercall</title>
	</head>

	<body>
	{{> simple}}
	{{> passData}}
	</body>

	<template name="simple">
	const puppeteer = require('puppeteer');
	const read = require('read');
	const htmlToText = require('html-to-text').fromString;
	const R = require('ramda');
	const Promise = require('bluebird');
	const fs = require('fs');
	const download = require('@jinphen/download2');
	const { CookieJar } = require('tough-cookie');

	const mapSeries = R.flip(Promise.mapSeries);