Understand your Mac and iPhone more deeply by tracing the evolution of Mac OS X from prelease to Swift. John Siracusa delivers the details.
You've got two main options:
| ''' | |
| Python script for Mac to convert AppleWorks and ClarisWorks files in a folder to PDF | |
| Author: Mathias Beke | |
| Date: August 2019 | |
| ''' | |
| import os | |
| import subprocess | |
| import sys |
| #!/usr/bin/env bash | |
| # Find the latest Amazon-created "Deep Learning AMI (Ubuntu 18.04)" AMI image ID | |
| # | |
| # args explanation: | |
| # --region us-east-1 | |
| # Specifies the AWS region (you can also specify it in your | |
| # ~/.aws/config or via the `AWS_REGION` or `AWS_DEFAULT_REGION` | |
| # env vars) | |
| # |
| import nltk | |
| import string | |
| # nltk.download('brown') | |
| # if nltk hasnt been used before this will download the brown corpus | |
| from nltk.corpus import brown | |
| from collections import Counter | |
| import pandas as pd |
| NodeA | NodeB | similarity | |
|---|---|---|---|
| Theodore | Theodoras | 0.9 | |
| Theodore | Sam | 0.0 | |
| Samuel | Sam | 0.7 |
| name: CI | |
| on: [push] | |
| jobs: | |
| test: | |
| runs-on: ubuntu-latest | |
| services: |
I will have to think about a sensible place to put this.
But here’s how you can get the spark UI for a glue job:
job = GlueJob('my_dir/', bucket=bucket, job_role=my_role,
job_arguments={"--test_arg": 'some_string',
'--enable-spark-ui': 'true',
'--spark-event-logs-path': 's3://alpha-data-linking/glue_test_delete/logsdelete' })| HANDY ONE-LINE SCRIPTS FOR AWK 30 April 2008 | |
| Compiled by Eric Pement - eric [at] pement.org version 0.27 | |
| Latest version of this file (in English) is usually at: | |
| http://www.pement.org/awk/awk1line.txt | |
| USAGE: | |
| Unix: awk '/pattern/ {print "$1"}' # standard Unix shells | |
| DOS/Win: awk '/pattern/ {print "$1"}' # compiled with DJGPP, Cygwin |
| library(datasets) | |
| library(sjmisc) | |
| library(sjPlot) | |
| library(ordinal) | |
| set.seed(111) | |
| ab <-datasets::airquality | |
| ab$orddep<- as.factor(ab$Month) | |
| ord.1 <- clm(orddep ~ Temp , data=ab) |