dhh

Vim Manipulation Cheat Sheet

Action

Key	Result
v	select
y	copy (yank)
c	change
d	delete

dhh

#!/usr/bin/env bash

# Abort sign off on any error
set -e

# Start the benchmark timer
SECONDS=0

# Repository introspection
OWNER=$(gh repo view --json owner --jq .owner.login)

dhh

# THIS LINUX SETUP SCRIPT HAS MORPHED INTO A WHOLE PROJECT: HTTPS://OMAKUB.ORG
# PLEASE CHECKOUT THAT PROJECT INSTEAD OF THIS OUTDATED SETUP SCRIPT.
#
#

# Libraries and infrastructure
sudo apt update -y
sudo apt install -y \
	docker.io docker-buildx \
	build-essential pkg-config autoconf bison rustc cargo clang \

ML-engineer

import duckdb
from google.cloud import bigquery

bqclient = bigquery.Client()
table = bigquery.TableReference.from_string(
    "bigquery-public-data.utility_us.country_code_iso"
)
rows = bqclient.list_rows(table)
country_code_iso = rows.to_arrow(create_bqstorage_client=True)
cursor = duckdb.connect()

gatukgl

# Instructions
# 1. Write down Python code in say() method
#    - This method might have one parameter `number` which possibly 1-99
#    - This method need to return an English word for provided number e.g. If the number is 3, should return "three"
# 2. More examples on test data (numbers and words) are in the "Test Data Example" section
# 3. How to run this file through unit tests
#    - Open the terminal
#    - Run this command "python <path/to/file.py>" e.g. python PyConUS2021Challenge.py
#    - If the tests are failed, it will display "FAILED (failures=16)" for example, on the terminal
#    - If the tests are pass, it will display "Ran 16 tests in 0.001s OK"

turbaszek

import random

from airflow.operators.dummy_operator import DummyOperator
from airflow.models import DAG
from airflow.utils.dates import days_ago

with DAG(
   "big_dag",
   start_date=days_ago(1),
   schedule_interval=None,

tonybaloney

import uuid

from django.db import models
from django.contrib.auth import get_user_model


class Badge(models.Model):
    id = models.UUIDField(primary_key=True, default=uuid.uuid4, editable=False)
    label = models.CharField(max_length=255)
    description = models.TextField()

michaeltreat

MongoDB Shell Commands Cheat Sheet.

This is a Cheat Sheet for interacting with the Mongo Shell ( mongo on your command line). This is for MongoDB Community Edition.

Preface:

Mongo Manual can help you with getting started using the Shell.

FAQ for MongoDB Fundamentals and other FAQs can be found in the side-bar after visiting that link.

praveenweb

# ---- Base python ----
FROM python:3.6 AS base
# Create app directory
WORKDIR /app

# ---- Dependencies ----
FROM base AS dependencies  
COPY gunicorn_app/requirements.txt ./
# install app dependencies
RUN pip install -r requirements.txt

marwei

Kafka 0.11.0.0 (Confluent 3.3.0) added support to manipulate offsets for a consumer group via cli kafka-consumer-groups command.

1. List the topics to which the group is subscribed

kafka-consumer-groups --bootstrap-server <kafkahost:port> --group <group_id> --describe

Note the values under "CURRENT-OFFSET" and "LOG-END-OFFSET". "CURRENT-OFFSET" is the offset where this consumer group is currently at in each of the partitions.

2. Reset the consumer offset for a topic (preview)