cpcloud

(define (term? expr)
  (or (symbol? expr) (number? expr)))

(define/match (expr? expr)
  [((list (or '+ '- '*) (? expr?) ...)) #t]
  [((? term?)) #t]
  [(_) #f])

cpcloud

import abc
import copy

from collections import defaultdict
from pprint import pprint
from typing import (
    Any,
    Callable,
    Dict,
    Hashable,

cpcloud

   night_owl    total  night_owl_perc
0     422315  2541639        0.166159

cpcloud

con = ibis.bigquery.connect(billing_project, 'bigquery-public-data.samples')
t = con.table('github_nested')
expr = (
    t.mutate(
         # get the hour in UTC during which a repo was created
         hour=lambda t: t.created_at
                         .to_timestamp('%Y/%m/%d %T %z')
                         .hour(),
         # compute the UTC offset to adjust in the next expression
         utc_offset=lambda t: t.created_at.split(' ')[2].cast('int64') // 100)

cpcloud

SELECT *,
   	 acq_ipos / num_investments AS acq_rate
FROM (
  SELECT CASE WHEN i.investor_name IS NULL THEN ‘NO INVESTOR’
          	  ELSE i.investor_name
              END AS “Investor name”,
     	   COUNT(DISTINCT c.permalink) AS num_investments,
     	   COUNT(DISTINCT
               CASE WHEN c.status IN (‘ipo’, ‘acquired’) THEN c.permalink
                    END) AS acq_ipos

cpcloud

#!/bin/bash

set -eo pipefail

function env_exists() {
    conda env list | cut -d ' ' -f 1 | grep -v '#' | grep "${1}" 1> /dev/null
}

envname="skimage-test-opt"

cpcloud

import pandas as pd
import ibis
import click

from prompt_toolkit import prompt
from prompt_toolkit.layout.lexers import PygmentsLexer
from pygments.lexers.sql import PostgresLexer


@click.command()

cpcloud

import random
import time

from collections import deque
from threading import Thread

import zmq

import numpy as np
import pandas as pd

cpcloud

In [6]: from slumba.miniast import *

In [7]: from slumba.source import sourcify

In [8]: myfunc = def_.silly_func(arg.a)(
   ...:     if_(
   ...:         load.a == 1,
   ...:         return_(load.a + 2),
   ...:         return_('Foo')
   ...:     )

cpcloud

import random
import time

from collections import deque
from threading import Thread

import zmq

import numpy as np
import pandas as pd