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Checklist para propostas de talks para Python Brasil

Tema

• Escolhi um tema relevante para a audiência. Imaginei quem estará na conferência e pensei: "sobre o que essas pessoas querem/precisam ouvir?"
• Escolhi um tema enriquecedor, que trará um novo aprendizado para minha audiência
• Escolhi um tema que já me sinto confortável em falar ou terei tempo suficiente para estudar para me sentir confortável
• Escolhi um tema que é possível apresentar em 35 minutos
• Escolhi um único tema e não um conjunto de temas pouco relacionados

Texto da proposta

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import bisect

def bisect_index(arr, start, end, x):
    i = bisect.bisect_left(arr, x, lo=start, hi=end)
    if i != end and arr[i] == x:
        return i
    return -1

def exponential_search(arr, start, x): 
    if x == arr[start]: 

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#! /usr/bin/env python

import os
import tempfile
import time
import timeit

import pybloomfilter

tempfiles = []

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fjsj:~/w/dedupe-3.8.1$ pyenv install 3.8.1
python-build: use openssl@1.1 from homebrew
python-build: use readline from homebrew
Downloading Python-3.8.1.tar.xz...
-> https://www.python.org/ftp/python/3.8.1/Python-3.8.1.tar.xz
Installing Python-3.8.1...
python-build: use readline from homebrew
python-build: use zlib from xcode sdk
Installed Python-3.8.1 to /Users/fjsj/.pyenv/versions/3.8.1

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import random
import sys

keyboard = "0123456789abcdefghijklmnopqrstuvwxyz!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ "

if __name__ == "__main__":
    expected = " ".join(sys.argv[1:]).lower()
    already_produced_set = set()

    produced = ""

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# Based on this: https://stackoverflow.com/a/62956469/145349
import logging
import time
from contextlib import contextmanager

@contextmanager
def log_time(logger, log_message="Took %.4f secs", log_level=logging.INFO):
    start = time.perf_counter()
    yield
    elapsed = time.perf_counter() - start

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SELECT 
  sum(idx_blks_read) as idx_read,
  sum(idx_blks_hit)  as idx_hit,
  (sum(idx_blks_hit) - sum(idx_blks_read)) / sum(idx_blks_hit) as ratio
FROM 
  pg_statio_user_indexes;

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# Recommended Celery Django settings for reliability:
# (use `app.config_from_object('django.conf:settings', namespace='CELERY')`
#  in proj/celery.py module)

from decouple import config  # use python-decouple: https://github.com/HBNetwork/python-decouple

# Prefer RabbitMQ over Redis for Broker,
# mainly because RabbitMQ doesn't need visibility timeout. See:
# https://blog.daftcode.pl/working-with-asynchronous-celery-tasks-lessons-learned-32bb7495586b
# https://engineering.instawork.com/celery-eta-tasks-demystified-424b836e4e94