aquilax

<a href="javascript:(function(){Array.from(document.querySelectorAll('textarea')).map(function(b){var a=document.createElement('div');var d=document.createElement('button');d.textContent='↑';d.addEventListener('click',function(f){f.preventDefault();b.value=b.value.split('\n').sort().join('\n')});var c=document.createElement('button');c.textContent='↓';c.addEventListener('click',function(f){f.preventDefault();b.value=b.value.split('\n').sort().reverse().join('\n')});a.appendChild(d);a.appendChild(c);b.parentNode.insertBefore(a,b)})})();">Sort textareas</a>

aquilax

javascript:(function(){
var container = document.createElement('div');
container.setAttribute('style', 'position: absolute; top: 0; right: 0; left: 0; bottom: 0; z-index: 9999');

var textarea = document.createElement('textarea');
textarea.setAttribute('style', 'width:99%; height: 20em');

var close = document.createElement('button');
close.textContent = 'Close'
close.addEventListener("click", function() {

juanarrivillaga

import pandas as pd
df = pd.read_csv('en_bigram.csv')
st = df[df["right"] == "some_text"]["left"]
st[st.str.startswith("My")].to_list()


# using a dict reader
import csv
result = []
with open("en_bigram.csv") as f:

ameerkat

MineRobber9000

###########################################################
# How to NEVER use lambdas. An inneficient and yet educa- #
# tonal [sic] guide to the proper misuse of the lambda    #
# construct in Python 3.x.  [DO NOT USE ANY OF THIS EVER] #
#          original by (and apologies to): e000 (13/6/11) #
#           now in Python 3 courtesy of: khuxkm (17/9/20) #
###########################################################

## Part 1. Basic LAMBDA Introduction ##
# If you're reading this, you've probably already read e000's

davidkyle

Getting started with the Inference Aggregation

First ingest the customer churn data and trained model

• calls.csv
• customers.csv

Ingest the linked csv files above into Elastic using the Kibana Data Visualizer. You will find the Data Visualizer in the Machine Learning section. Ingest into the indices calls and customers.

• telco_churn_model.json

miladfa7

from simpletransformers.language_modeling import LanguageModelingModel
import logging


logging.basicConfig(level=logging.INFO)
transformers_logger = logging.getLogger("transformers")
transformers_logger.setLevel(logging.WARNING)


train_args = {

benkehoe

# MIT No Attribution
#
# Copyright 2022 Ben Kehoe
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of this
# software and associated documentation files (the "Software"), to deal in the Software
# without restriction, including without limitation the rights to use, copy, modify,
# merge, publish, distribute, sublicense, and/or sell copies of the Software, and to
# permit persons to whom the Software is furnished to do so.
#

sebsto

drop table store;

drop table sales;

drop materialized view city_sales;


CREATE TABLE "sales" (
  "id" int PRIMARY KEY,
  "item" varchar,

psychemedia

mkdir -p binder binder_1 binder_2

cat > binder_1/requirements.txt << EOF
pandas
scipy
EOF

cat > binder_2/requirements.txt << EOF
ipython-sql
pandas