i-like-bikes

# https://stackoverflow.com/questions/11810461/how-to-perform-periodic-task-with-flask-in-python
from apscheduler.schedulers.background import BackgroundScheduler

from flask import Flask
from flask_sqlalchemy import SQLAlchemy

# initialise Flask app
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:////tmp/test.db'
db = SQLAlchemy(app)

i-like-bikes

torrent: /home/rob/go/src/github.com/anacrolix/go-libutp/utp_internal.cpp:3314: int utp_getpeername(utp_socket*, sockaddr*, socklen_t*): Assertion `conn' failed.
SIGABRT: abort
PC=0x7fe6bcedb428 m=9
signal arrived during cgo execution

goroutine 9961 [syscall, locked to thread]:
runtime.cgocall(0x81c820, 0xc420519a10, 0x0)
	/usr/local/go/src/runtime/cgocall.go:131 +0x110 fp=0xc4205199e0 sp=0xc4205199a0
github.com/anacrolix/go-libutp._Cfunc_utp_getpeername(0x0, 0xc4222e39d0, 0xc421cbc408, 0x0)
	??:0 +0x4d fp=0xc420519a10 sp=0xc4205199e0

i-like-bikes

import datetime
import logging
import sys

from mongoengine import connect
from mongoengine import DateTimeField, Document, EmbeddedDocument, EmbeddedDocumentField, IntField, ListField, StringField 
from pymongo.errors import OperationFailure

# Solution comes from following this:
# https://stackoverflow.com/questions/28982285/mongodb-projection-of-nested-arrays

i-like-bikes

def wat(x):
    return x or 'WAT!!'

i-like-bikes

 def do_math(x):
     print(x ** 2)
     return
 
 if __name__ == '__main__':
     i = input('Please insert an int: ')
     assert int(i), 'Not an int. terminating'
 
     i = int(i)
     result = do_math(i)

i-like-bikes

q)rng: {[w;s;e] s + w*til ceiling(e-s)%w}
q)dt: rng[1;2000.01.01;2001.01.01]    / generates list of dates for the year
q)data: {til x}'[(count dt)?1000]     / generate some random data, sampling from 1000 - so avg should be about 500 a day.
q)tab: ungroup ([]date:{(count x)#y}'[data;dt];observation:data)    / this is shit - but yknow, 6 months since paid for this shit
q)select avg dayCount by date.month from select dayCount: count i by date from tab    / Damn son, that daily agg, turned into monthly avg.
month  | dayCount
-------| --------
2000.01| 472.871 
2000.02| 507.2759
2000.03| 477.6452

i-like-bikes

searchCols = vector('list', ncol(mtcars))
q = list('gear'=3, 'mpg'=10)

colNames = names(mtcars)
for(col_ in names(q)) {
  pos = which(colNames == col_)
  searchCols[[pos]] <- list(search = q[[col_]])
}
searchCols

i-like-bikes

require(DT)
require(shiny)


custom.CSS <- "
.dataTables_scrollBody thead{ 
visibility:hidden; 
}

.group{