philschmid

Understand the Task: Grasp the main objective, goals, requirements, constraints, and expected output.
- Minimal Changes: If an existing prompt is provided, improve it only if it's simple. For complex prompts, enhance clarity and add missing elements without altering the original structure.
- Reasoning Before Conclusions: Encourage reasoning steps before any conclusions are reached. ATTENTION! If the user provides examples where the reasoning happens afterward, REVERSE the order! NEVER START EXAMPLES WITH CONCLUSIONS!
    - Reasoning Order: Call out reasoning portions of the prompt and conclusion parts (specific fields by name). For each, determine the ORDER in which this is done, and whether it needs to be reversed.
    - Conclusion, classifications, or results should ALWAYS appear last.
- Examples: Include high-quality examples if helpful, using placeholders [in brackets] for complex elements.
   - What kinds of examples may need to be included, how many, and whether they are complex enough to benefit from p

jezhumble

# Copyright 2019 Google LLC.
# SPDX-License-Identifier: Apache-2.0
# This snippet shows you how to use Blob.generate_signed_url() from within compute engine / cloud functions
# as described here: https://cloud.google.com/functions/docs/writing/http#uploading_files_via_cloud_storage
# (without needing access to a private key)
# Note: as described in that page, you need to run your function with a service account
# with the permission roles/iam.serviceAccountTokenCreator

import os, google.auth
from google.auth.transport import requests

juanpabloaj

import os
import logging

LOGLEVEL = os.environ.get('LOGLEVEL', 'INFO').upper()
logging.basicConfig(level=LOGLEVEL, format="%(asctime)s %(message)s")

giampaolotrapasso

List of links from Designing Event-Driven Systems by Ben Stopford

Designing Event-Driven Systems book by Ben Stopford contains a lot of useful links to papers, books, documentation and definitions related to event driven design and Kafka. I just extracted them as reference for the future and added some groups to show them better.

You can read the book for free

• A Crystal Ball to Prioritise Technical Debt in Monoliths or Microservices: Adam Tornhill's Thoughts
• Brewer's CAP Theorem <= :julianbrowne

frankyaorenjie

FROM python:3.6

ENV LC_ALL C.UTF-8
ENV LANG C.UTF-8
ENV GOOGLE_APPLICATION_CREDENTIALS /service/scripts/application_default_credentials.json

COPY . /service/scripts
WORKDIR /service/scripts

RUN pip install pipenv

ctf0

<?php

// use Illuminate\Support\Collection;
// use Illuminate\Pagination\Paginator;
// use Illuminate\Pagination\LengthAwarePaginator;

/**
  * Gera a paginação dos itens de um array ou collection.
  *
  * @param array|Collection      $items

BrikerMan

from gensim.models import KeyedVectors

# Load gensim word2vec
w2v_path = '<Gensim File Path>'
w2v = KeyedVectors.load_word2vec_format(w2v_path)

import io

# Vector file, `\t` seperated the vectors and `\n` seperate the words
"""

uhho

def s3_to_pandas(client, bucket, key, header=None):

    # get key using boto3 client
    obj = client.get_object(Bucket=bucket, Key=key)
    gz = gzip.GzipFile(fileobj=obj['Body'])
    
    # load stream directly to DF
    return pd.read_csv(gz, header=header, dtype=str)

def s3_to_pandas_with_processing(client, bucket, key, header=None):

revotu

from bs4 import BeautifulSoup

# remove all attributes
def _remove_all_attrs(soup):
    for tag in soup.find_all(True): 
        tag.attrs = {}
    return soup

# remove all attributes except some tags
def _remove_all_attrs_except(soup):

rhernandog

[
  {
    "region": "Arica y Parinacota",
    "region_number": "XV",
    "region_iso_3166_2": "CL-AP",
    "provincias": [
      {
        "name": "Arica",
        "comunas": [
          {